Computational Imaging & VisAnalysis

#257: Y. M. Kassim, V. B. S. Prasath, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan

Microvasculature segmentation of arterioles using deep CNN

IEEE International Conference on Image Processing (ICIP), 2017

deep learning, segmentation, vasculature, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{Yasmin:Deep-Vessel-ICIP2017,
  author = "Y. M. Kassim and V. B. S. Prasath and O. V. Glinskii and V. V. Glinsky and V. H. Huxley and K. Palaniappan",
  title = "Microvasculature segmentation of arterioles using deep CNN",
  year = 2017,
  journal = "IEEE International Conference on Image Processing (ICIP)",
  month = "Sep",
  keywords = "deep learning, segmentation, vasculature, biomedical",
  url = "http://2017.ieeeicip.org/"
}

Y. M. Kassim, V. B. S. Prasath, O. V. Glinskii, V. V. Glinsky, V. H. Huxley, and K. Palaniappan. Microvasculature segmentation of arterioles using deep CNN. IEEE International Conference on Image Processing (ICIP), September 2017.

#235: V. B. S. Prasath, Y. M. Kassim, Z. A. Oraibi, J.-B. Guiriec, A. Hafiane, G. Seetharaman, and K. Palaniappan

HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests

Proc. IEEE International Conference on Pattern Recognition (ICPR), 2016

hep-2 cell classification, cell segmentation, texture features, motif patterns, random forests, segmentation, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{2016a,
  author = "V. B. S. Prasath and Y. M. Kassim and Z. A. Oraibi and J.-B. Guiriec and A. Hafiane and G. Seetharaman and K. Palaniappan",
  title = "HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests",
  year = 2016,
  journal = "Proc. IEEE International Conference on Pattern Recognition (ICPR)",
  month = "Dec",
  keywords = "hep-2 cell classification, cell segmentation, texture features, motif patterns, random forests, segmentation, biomedical",
  url = "http://hep2.unisa.it/"
}

V. B. S. Prasath, Y. M. Kassim, Z. A. Oraibi, J.-B. Guiriec, A. Hafiane, G. Seetharaman, and K. Palaniappan. HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests. Proc. IEEE International Conference on Pattern Recognition (ICPR), December 2016.

#242: U. Sampathkumar, V. B. S. Prasath, S. Meena, and K. Palaniappan

Cloud-based interactive image segmentation using the FireFly visualization tool

Proc. IEEE Applied Imagery Pattern Recognition (AIPR), 2016

segmentation, interactive, gaussian elastic body, splines, firefly, visualization

Abstract, Bibtex, PlainText, Google Scholar

@inproceedings{Urmila:Interactive-Firefly-AIPR-2016,
  author = "U. Sampathkumar and V. B. S. Prasath and S. Meena and K. Palaniappan",
  title = "Cloud-based interactive image segmentation using the FireFly visualization tool",
  year = 2016,
  journal = "Proc. IEEE Applied Imagery Pattern Recognition (AIPR)",
  month = "Oct",
  keywords = "segmentation, interactive, gaussian elastic body, splines, firefly, visualization"
}

U. Sampathkumar, V. B. S. Prasath, S. Meena, and K. Palaniappan. Cloud-based interactive image segmentation using the FireFly visualization tool. Proc. IEEE Applied Imagery Pattern Recognition (AIPR), October 2016.

#240: Y. M. Kassim, V. B. S. Prasath, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan

Confocal vessel structure segmentation with optimized feature bank and random forests

Proc. IEEE Applied Imagery Pattern Recognition (AIPR), 2016

random forest, segmentation, vasculature, confocal, biomedical

Abstract, Bibtex, PlainText, Google Scholar

@inproceedings{Kassim:RandomForest-Confocal-AIPR-2016,
  author = "Y. M. Kassim and V. B. S. Prasath and O. Glinskii and V. Glinsky and V. Huxley and K. Palaniappan",
  title = "Confocal vessel structure segmentation with optimized feature bank and random forests",
  year = 2016,
  journal = "Proc. IEEE Applied Imagery Pattern Recognition (AIPR)",
  month = "Oct",
  keywords = "random forest, segmentation, vasculature, confocal, biomedical"
}

Y. M. Kassim, V. B. S. Prasath, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. Confocal vessel structure segmentation with optimized feature bank and random forests. Proc. IEEE Applied Imagery Pattern Recognition (AIPR), October 2016.

#233: Z. Al-Milaji, I. Ersoy, K. Palaniappan, and F. Bunyak

Hybrid Deep Learning Framework for the Classification of Epithelial and Stromal Tissues in H&E Images

Proc. First International Workshop on Deep Learning for Pattern Recognition (DLPR), 2016

deep learning, histopathology, segmentation

Bibtex, PlainText, URL, Google Scholar

@inproceedings{Al-Milaji:histopathology-deeplearning-2016a,
  author = "Z. Al-Milaji and I. Ersoy and K. Palaniappan and F. Bunyak",
  title = "Hybrid Deep Learning Framework for the Classification of Epithelial and Stromal Tissues in H&E Images",
  year = 2016,
  journal = "Proc. First International Workshop on Deep Learning for Pattern Recognition (DLPR)",
  keywords = "deep learning, histopathology, segmentation",
  url = "http://dlpr2016.csp.escience.cn/dct/page/70005"
}

#220: S. Meena, K. Palaniappan, and G. Seetharaman

User driven sparse point based image segmentation

IEEE International Conference on Image Processing (ICIP), pgs. 844-848, 2016

segmentation, interactive, gaussian elastic body, splines

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Meena-interactive-ICIP2016,
  author = "S. Meena and K. Palaniappan and G. Seetharaman",
  title = "User driven sparse point based image segmentation",
  year = 2016,
  journal = "IEEE International Conference on Image Processing (ICIP)",
  pages = "844-848",
  keywords = "segmentation, interactive, gaussian elastic body, splines",
  doi = "10.1109/ICIP.2016.7532476"
}

S. Meena, K. Palaniappan, and G. Seetharaman. User driven sparse point based image segmentation. IEEE International Conference on Image Processing (ICIP), pages 844-848, 2016.

#221: V. B. S. Prasath, R. Pelapur, K. Palaniappan, and G. Seetharaman

Textured object video segmentation using temporal coherency

Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016

segmentation, videos, active contours

Abstract, Bibtex, PlainText, Google Scholar

@inproceedings{Prasath:Videoseg-SPIE-2016,
  author = "V. B. S. Prasath and R. Pelapur and K. Palaniappan and G. Seetharaman",
  title = "Textured object video segmentation using temporal coherency",
  year = 2016,
  journal = "Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI",
  keywords = "segmentation, videos, active contours"
}

V. B. S. Prasath, R. Pelapur, K. Palaniappan, and G. Seetharaman. Textured object video segmentation using temporal coherency. Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016.

#231: S. Meena, K. Palaniappan, G. Seetharaman, and V. B. S. Prasath

Interactive target selection in aerial imagery using elastic body splines

Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016

interactive, segmentation, wami, target selection

Abstract, Bibtex, PlainText, Google Scholar

@inproceedings{Meena:Aerial-SPIE-2016,
  author = "S. Meena and K. Palaniappan and G. Seetharaman and V. B. S. Prasath",
  title = "Interactive target selection in aerial imagery using elastic body splines",
  year = 2016,
  journal = "Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI",
  keywords = "interactive, segmentation, wami, target selection"
}

S. Meena, K. Palaniappan, G. Seetharaman, and V. B. S. Prasath. Interactive target selection in aerial imagery using elastic body splines. Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016.

#228: S. Meena, R. Pelapur, V. B. S. Prasath, and K. Palaniappan

Multiscale focus driven segmentation using elastic body splines

Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016

interactive, segmentation, focus

Abstract, Bibtex, PlainText, Google Scholar

@inproceedings{Meena:Focusseg-SPIE-2016,
  author = "S. Meena and R. Pelapur and V. B. S. Prasath and K. Palaniappan",
  title = "Multiscale focus driven segmentation using elastic body splines",
  year = 2016,
  journal = "Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI",
  keywords = "interactive, segmentation, focus"
}

S. Meena, R. Pelapur, V. B. S. Prasath, and K. Palaniappan. Multiscale focus driven segmentation using elastic body splines. Proc. SPIE Conf. Geospatial Informatics, Fusion, and Motion Video Analytics VI, 2016.

#229: S. Meena, V. B. S. Prasath, Y. M. Kassim, R. J. Maude, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan

Multiquadric spline-based interactive segmentation of vascular networks

38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 5913-5916, 2016

interactive, segmentation, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Meena:Spline-EMBS-2016,
  author = "S. Meena and V. B. S. Prasath and Y. M. Kassim and R. J. Maude and O. Glinskii and V. Glinsky and V. Huxley and K. Palaniappan",
  title = "Multiquadric spline-based interactive segmentation of vascular networks",
  year = 2016,
  journal = "38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "5913-5916",
  keywords = "interactive, segmentation, vasculature, biomedical",
  doi = "10.1109/EMBC.2016.7592074"
}

S. Meena, V. B. S. Prasath, Y. M. Kassim, R. J. Maude, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. Multiquadric spline-based interactive segmentation of vascular networks. 38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 5913-5916, 2016.

#225: Y. M. Kassim, V. B. S. Prasath, R. Pelapur, O. Glinskii, R. J. Maude, V. Glinsky, V. Huxley, and K. Palaniappan

Random forests for dura mater microvasculature segmentation using epifluorescence images

38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 2901-2904, 2016

random forest, segmentation, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Kassim:RandomForest-EMBS-2016,
  author = "Y. M. Kassim and V. B. S. Prasath and R. Pelapur and O. Glinskii and R. J. Maude and V. Glinsky and V. Huxley and K. Palaniappan",
  title = "Random forests for dura mater microvasculature segmentation using epifluorescence images",
  year = 2016,
  journal = "38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "2901-2904",
  keywords = "random forest, segmentation, vasculature, biomedical",
  doi = "10.1109/EMBC.2016.7591336"
}

Y. M. Kassim, V. B. S. Prasath, R. Pelapur, O. Glinskii, R. J. Maude, V. Glinsky, V. Huxley, and K. Palaniappan. Random forests for dura mater microvasculature segmentation using epifluorescence images. 38th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 2901-2904, 2016.

#202: S. Meena, K. Palaniappan, and G. Seetharaman

Interactive image segmentation using elastic interpolation

IEEE International Symposium on Multimedia (ISM), pgs. 307-310 , 2015

segmentation, interactive, elastic body, splines

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Sachin_Interactive_ISM2016,
  author = "S. Meena and K. Palaniappan and G. Seetharaman",
  title = "Interactive image segmentation using elastic interpolation",
  year = 2015,
  journal = "IEEE International Symposium on Multimedia (ISM)",
  pages = "307-310 ",
  month = "Dec",
  keywords = "segmentation, interactive, elastic body, splines",
  doi = "10.1109/ISM.2015.78"
}

S. Meena, K. Palaniappan, and G. Seetharaman. Interactive image segmentation using elastic interpolation. IEEE International Symposium on Multimedia (ISM), pages 307-310 , December 2015.

#215: F. Bunyak, A. Hafiane, Z. Al-Milagi, I. Ersoy, A. Haridas, and K. Palaniappan

A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images

Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pgs. 450-453, 2015

biomedical, histopathology, segmentation, classification

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Bunyak:histo-seg-2015,
  author = "F. Bunyak and A. Hafiane and Z. Al-Milagi and I. Ersoy and A. Haridas and K. Palaniappan",
  title = "A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images",
  year = 2015,
  booktitle = "Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",
  pages = "450-453",
  keywords = "biomedical, histopathology, segmentation, classification",
  url = "http://cci.drexel.edu/ieeebibm/bibm2015/index.html"
}

F. Bunyak, A. Hafiane, Z. Al-Milagi, I. Ersoy, A. Haridas, and K. Palaniappan. A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images. Proc. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pages 450-453, 2015.

#187: J. C. Moreno, V. B. S. Prasath, H. Proenca, and K. Palaniappan

Fast and globally convex multiphase active contours for brain MRI segmentation

Computer Vision and Image Understanding, Volume 125, pgs. 237-250, 2014

segmentation, active contours, globally convex, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Juan:BrainMRI-Segmentation-CVIU-2014,
  author = "J. C. Moreno and V. B. S. Prasath and H. Proenca and K. Palaniappan",
  title = "Fast and globally convex multiphase active contours for brain MRI segmentation",
  year = 2014,
  journal = "Computer Vision and Image Understanding",
  volume = 125,
  pages = "237-250",
  month = "Aug",
  keywords = "segmentation, active contours, globally convex, biomedical",
  doi = "10.1016/j.cviu.2014.04.010",
  url = "http://cell.missouri.edu/pages/BrainMRISegmentation/"
}

J. C. Moreno, V. B. S. Prasath, H. Proenca, and K. Palaniappan. Fast and globally convex multiphase active contours for brain MRI segmentation. Computer Vision and Image Understanding, volume 125, pages 237-250, August 2014.

#188: S. Meena, V. B. S. Prasath, K. Palaniappan, and G. Seetharaman

Elastic body spline based image segmentation

Proc. IEEE International Conference on Image Processing (ICIP), pgs. 4378-4382, 2014

segmentation, interactive, elastic body, splines

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Sachin:Interactiveseg-ICIP-2014,
  author = "S. Meena and V. B. S. Prasath and K. Palaniappan and G. Seetharaman",
  title = "Elastic body spline based image segmentation",
  year = 2014,
  booktitle = "Proc. IEEE International Conference on Image Processing (ICIP)",
  pages = "4378-4382",
  keywords = "segmentation, interactive, elastic body, splines",
  doi = "10.1109/ICIP.2014.7025888"
}

S. Meena, V. B. S. Prasath, K. Palaniappan, and G. Seetharaman. Elastic body spline based image segmentation. Proc. IEEE International Conference on Image Processing (ICIP), pages 4378-4382, 2014.

#186: V. B. S. Prasath, R. Pelapur, K. Palaniappan, and G. Seetharaman

Feature fusion and label propagation for textured object video segmentation

Proc. SPIE Conf. Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II (Defense, Security and Sensing), Volume 9089, 2014

segmentation, active contours, video, globally convex

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Surya:Videoseg-SPIE-2014,
  author = "V. B. S. Prasath and R. Pelapur and K. Palaniappan and G. Seetharaman",
  title = "Feature fusion and label propagation for textured object video segmentation",
  year = 2014,
  booktitle = "Proc. SPIE Conf.  Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II (Defense, Security and Sensing)",
  volume = 9089,
  keywords = "segmentation, active contours, video, globally convex",
  doi = "10.1117/12.2052983"
}

V. B. S. Prasath, R. Pelapur, K. Palaniappan, and G. Seetharaman. Feature fusion and label propagation for textured object video segmentation. Proc. SPIE Conf.  Geospatial InfoFusion and Video Analytics IV; and Motion Imagery for ISR and Situational Awareness II (Defense, Security and Sensing), volume 9089, 2014.

#184: S. Candemir, S. Jaeger, K. Palaniappan, J. P. Musco, R. Singh, Z. Xue, A. Karargyris, S. Antani, G. Thoma, and C. J. McDonald

Lung segmentation in chest radiographs using anatomical atlases with non-rigid registration

IEEE Trans. Medical Imaging, Volume 33, pgs. 577-590, 2014

segmentation, graph methods, chest x-ray, cbir, registration, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Sema:TMI-2013-lung-seg,
  author = "S. Candemir and S. Jaeger and K. Palaniappan and J. P. Musco and R. Singh and Z. Xue and A. Karargyris and S. Antani and G. Thoma and C. J. McDonald",
  title = "Lung segmentation in chest radiographs using anatomical atlases with non-rigid registration",
  year = 2014,
  journal = "IEEE Trans. Medical Imaging",
  volume = 33,
  number = 2,
  pages = "577-590",
  keywords = "segmentation, graph methods, chest x-ray, cbir, registration, biomedical",
  doi = "10.1109/TMI.2013.2290491"
}

S. Candemir, S. Jaeger, K. Palaniappan, J. P. Musco, R. Singh, Z. Xue, A. Karargyris, S. Antani, G. Thoma, and C. J. McDonald. Lung segmentation in chest radiographs using anatomical atlases with non-rigid registration. IEEE Trans. Medical Imaging, volume 33, issue 2, pages 577-590, 2014.

#167: S. Candemir, K. Palaniappan, and Y. S. Akgul

Multi-class regularization parameter learning for graph cut image segmentation

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2013

segmentation, graph methods, chest x-ray, machine learning, biomedical

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Sema:ISBI-2013-graph-cut,
  author = "S. Candemir and K. Palaniappan and Y. S. Akgul",
  title = "Multi-class regularization parameter learning for graph cut image segmentation",
  year = 2013,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  keywords = "segmentation, graph methods, chest x-ray, machine learning, biomedical",
  doi = "10.1109/ISBI.2013.6556813"
}

S. Candemir, K. Palaniappan, and Y. S. Akgul. Multi-class regularization parameter learning for graph cut image segmentation. IEEE Int. Symposium on Biomedical Imaging (ISBI), 2013.

#166: V. B. S. Prasath, O. Haddad, F. Bunyak, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan

Robust filtering based segmentation and analysis of dura mater vessel laminae using epiflourescence microscopy

35th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 6055-6058, 2013

segmentation, image enhancement, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Surya:EMBC-2013-vessel,
  author = "V. B. S. Prasath and O. Haddad and F. Bunyak and O. Glinskii and V. Glinsky and V. Huxley and K. Palaniappan",
  title = "Robust filtering based segmentation and analysis of dura mater vessel laminae using epiflourescence microscopy",
  year = 2013,
  booktitle = "35th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "6055-6058",
  keywords = "segmentation, image enhancement, vasculature, biomedical"
}

V. B. S. Prasath, O. Haddad, F. Bunyak, O. Glinskii, V. Glinsky, V. Huxley, and K. Palaniappan. Robust filtering based segmentation and analysis of dura mater vessel laminae using epiflourescence microscopy. 35th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 6055-6058, 2013.

#156: S. Candemir, S. Jaeger, K. Palaniappan, S. Antani, and G. Thoma

Graph cut based automatic lung boundary detection in chest radiographs

IEEE Healthcare Innovation Conference, 2012

registration, segmentation, graph methods, anatomical, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar

@inproceedings{Sema:HIC-2012-lung-seg,
  author = "S. Candemir and S. Jaeger and K. Palaniappan and S. Antani and G. Thoma",
  title = "Graph cut based automatic lung boundary detection in chest radiographs",
  year = 2012,
  booktitle = "IEEE Healthcare Innovation Conference",
  keywords = "registration, segmentation, graph methods, anatomical, biomedical"
}

S. Candemir, S. Jaeger, K. Palaniappan, S. Antani, and G. Thoma. Graph cut based automatic lung boundary detection in chest radiographs. IEEE Healthcare Innovation Conference, 2012.

#151: V. B. S. Prasath, K. Palaniappan, and G. Seetharaman

Multichannel texture image segmentation using local feature fitting based variational active contours

8th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2012

active contours, color, texture, segmentation, features, fusion

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Surya:ICVGIP-2012-local-texture,
  author = "V. B. S. Prasath and K. Palaniappan and G. Seetharaman",
  title = "Multichannel texture image segmentation using local feature fitting based variational active contours",
  year = 2012,
  booktitle = "8th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)",
  keywords = "active contours, color, texture, segmentation, features, fusion",
  doi = "10.1145/2425333.2425411"
}

V. B. S. Prasath, K. Palaniappan, and G. Seetharaman. Multichannel texture image segmentation using local feature fitting based variational active contours. 8th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), 2012.

#97: F. Bunyak and K. Palaniappan

Level set-based fast multi-phase graph partitioning active contours using constant memory

Lecture Notes in Computer Science (ACIVS), Volume 5807, pgs. 145--155, 2009

detection, segmentation, active contours, motion, classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Bunyak:ACIVS-2009,
  author = "F. Bunyak and K. Palaniappan",
  title = "Level set-based fast multi-phase graph partitioning active contours using constant memory",
  year = 2009,
  journal = "Lecture Notes in Computer Science (ACIVS)",
  volume = 5807,
  pages = "145--155",
  keywords = "detection, segmentation, active contours, motion, classification",
  doi = "10.1007/978-3-642-04697-1_14",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-642-04697-1_14"
}

F. Bunyak and K. Palaniappan. Level set-based fast multi-phase graph partitioning active contours using constant memory. Lecture Notes in Computer Science (ACIVS), volume 5807, pages 145--155, 2009.

#99: S. K. Nath and K. Palaniappan

Fast graph partitioning active contours for image segmentation using histograms

EURASIP Journal on Image and Video Processing, pgs. 9p, 2009

detection, segmentation, active contours, motion, classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Nath:fGAPC-JIVP-2009,
  author = "S. K. Nath and K. Palaniappan",
  title = "Fast graph partitioning active contours for image segmentation using histograms",
  year = 2009,
  journal = "EURASIP Journal on Image and Video Processing",
  pages = "9p",
  keywords = "detection, segmentation, active contours, motion, classification",
  doi = "10.1155/2009/820986",
  url = "http://jivp.eurasipjournals.com/content/2009/1/820986"
}

S. K. Nath and K. Palaniappan. Fast graph partitioning active contours for image segmentation using histograms. EURASIP Journal on Image and Video Processing, pages 9p, 2009.

#102: F. Bunyak and K. Palaniappan

Efficient segmentation using feature-based graph partitioning active contours

12th IEEE Int. Conf. Computer Vision, pgs. 873--880, 2009

detection, segmentation, active contours, motion, classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Bunyak:ICCV-2009,
  author = "F. Bunyak and K. Palaniappan",
  title = "Efficient segmentation using feature-based graph partitioning active contours",
  year = 2009,
  booktitle = "12th IEEE Int. Conf. Computer Vision",
  pages = "873--880",
  keywords = "detection, segmentation, active contours, motion, classification",
  doi = "10.1109/ICCV.2009.5459320",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5459320"
}

F. Bunyak and K. Palaniappan. Efficient segmentation using feature-based graph partitioning active contours. 12th IEEE Int. Conf. Computer Vision, pages 873--880, 2009.

#101: A. Hafiane, F. Bunyak, and K. Palaniappan

Evaluation of level set-based histology image segmentation using geometric region criteria

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2009

histopathology, active contours, classification, segmentation, features, texture, biomedical

Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Hafiane:ISBI-2009,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Evaluation of level set-based histology image segmentation using geometric region criteria",
  year = 2009,
  booktitle = "IEEE Int. Symposium on Biomedical Imaging (ISBI)",
  keywords = "histopathology, active contours, classification, segmentation, features, texture, biomedical",
  doi = "10.1109/ISBI.2009.5192968",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5192968"
}

#77: A. Hafiane, F. Bunyak, and K. Palaniappan

Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection

Lecture Notes in Computer Science (ACIVS), Volume 5259, pgs. 903--914, 2008

histopathology, active contours, classification, segmentation, features, texture, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Hafiane:ACIVS-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection",
  year = 2008,
  journal = "Lecture Notes in Computer Science (ACIVS)",
  volume = 5259,
  pages = "903--914",
  keywords = "histopathology, active contours, classification, segmentation, features, texture, biomedical",
  doi = "10.1007/978-3-540-88458-3_82",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-540-88458-3_82"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Fuzzy clustering and active contours for histopathology image segmentation and nuclei detection. Lecture Notes in Computer Science (ACIVS), volume 5259, pages 903--914, 2008.

#81: A. Hafiane, F. Bunyak, and K. Palaniappan

Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation

IEEE Int. Conf. Pattern Recognition, pgs. Online, 2008

histopathology, active contours, classification, segmentation, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Hafiane:ICPR-2008,
  author = "A. Hafiane and F. Bunyak and K. Palaniappan",
  title = "Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation",
  year = 2008,
  booktitle = "IEEE Int. Conf. Pattern Recognition",
  pages = "Online",
  keywords = "histopathology, active contours, classification, segmentation, features, biomedical",
  doi = "10.1109/ICPR.2008.4761744",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4761744"
}

A. Hafiane, F. Bunyak, and K. Palaniappan. Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation. IEEE Int. Conf. Pattern Recognition, pages Online, 2008.

#73: A. Hafiane, G. Seetharaman, K. Palaniappan, and B. Zavidovique

Rotationally invariant hashing of median binary patterns for texture classification

Lecture Notes in Computer Science (ICIAR), Volume 5112, pgs. 619--629, 2008

texture, image enhancement, classification, segmentation, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Hafiane:ICIAR-2008,
  author = "A. Hafiane and G. Seetharaman and K. Palaniappan and B. Zavidovique",
  title = "Rotationally invariant hashing of median binary patterns for texture classification",
  year = 2008,
  journal = "Lecture Notes in Computer Science (ICIAR)",
  volume = 5112,
  pages = "619--629",
  keywords = "texture, image enhancement, classification, segmentation, cbir",
  doi = "10.1007/978-3-540-69812-8_61",
  url = "http://link.springer.com/chapter/10.1007%2F978-3-540-69812-8_61"
}

A. Hafiane, G. Seetharaman, K. Palaniappan, and B. Zavidovique. Rotationally invariant hashing of median binary patterns for texture classification. Lecture Notes in Computer Science (ICIAR), volume 5112, pages 619--629, 2008.

#78: F. Bunyak, K. Palaniappan, O. Glinskii, V. Glinskii, V. Glinsky, and V. Huxley

Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution

30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 3134--3137, 2008

segmentation, image enhancement, active contours, vasculature, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Bunyak:EMBC-2008,
  author = "F. Bunyak and K. Palaniappan and O. Glinskii and V. Glinskii and V. Glinsky and V. Huxley",
  title = "Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution",
  year = 2008,
  booktitle = "30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC)",
  pages = "3134--3137",
  keywords = "segmentation, image enhancement, active contours, vasculature, biomedical",
  doi = "10.1109/IEMBS.2008.4649868",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4649868"
}

F. Bunyak, K. Palaniappan, O. Glinskii, V. Glinskii, V. Glinsky, and V. Huxley. Epifluorescence-based quantitative microvasculature remodeling using geodesic level-sets and shape-based evolution. 30th IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pages 3134--3137, 2008.

#70: S. K. Nath, K. Palaniappan, and F. Bunyak

Accurate spatial neighborhood relationships for arbitrarily-shaped objects using Hamilton-Jacobi GVD

Lecture Notes in Computer Science (SCIA), Volume 4522, pgs. 421--431, 2007

cell segmentation, segmentation, active contours, data mining

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Nath:SCIA-2007,
  author = "S. K. Nath and K. Palaniappan and F. Bunyak",
  title = "Accurate spatial neighborhood relationships for arbitrarily-shaped objects using Hamilton-Jacobi GVD",
  year = 2007,
  journal = "Lecture Notes in Computer Science (SCIA)",
  volume = 4522,
  pages = "421--431",
  keywords = "cell segmentation, segmentation, active contours, data mining",
  doi = "10.1007/978-3-540-73040-8_43"
}

S. K. Nath, K. Palaniappan, and F. Bunyak. Accurate spatial neighborhood relationships for arbitrarily-shaped objects using Hamilton-Jacobi GVD. Lecture Notes in Computer Science (SCIA), volume 4522, pages 421--431, 2007.

#56: S. Nath and K. Palaniappan

Adaptive robust structure tensors for orientation estimation and image segmentation

Lecture Notes in Computer Science (ISVC), Volume 3804, pgs. 445--453, 2005

image enhancement, features, detection, segmentation, denoising, convex relaxation

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@article{Nath:ISVC-2005,
  author = "S. Nath and K. Palaniappan",
  title = "Adaptive robust structure tensors for orientation estimation and image segmentation",
  year = 2005,
  journal = "Lecture Notes in Computer Science (ISVC)",
  volume = 3804,
  pages = "445--453",
  keywords = "image enhancement, features, detection, segmentation, denoising, convex relaxation",
  doi = "10.1007/11595755_54"
}

S. Nath and K. Palaniappan. Adaptive robust structure tensors for orientation estimation and image segmentation. Lecture Notes in Computer Science (ISVC), volume 3804, pages 445--453, 2005.

#51: K. Palaniappan, H. S. Jiang, and T. I. Baskin

Non-rigid motion estimation using the robust tensor method

IEEE CVPR Workshop on Articulated and Nonrigid Motion, Volume 1, pgs. 25--33, 2004

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Palani:CVPRW-2004,
  author = "K. Palaniappan and H. S. Jiang and T. I. Baskin",
  title = "Non-rigid motion estimation using the robust tensor method",
  year = 2004,
  booktitle = "IEEE CVPR Workshop on Articulated and Nonrigid Motion",
  volume = 1,
  pages = "25--33",
  keywords = "detection, segmentation, features, tracking, convex relaxation, plants, biomedical",
  doi = "10.1109/CVPR.2004.405",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1384814"
}

K. Palaniappan, H. S. Jiang, and T. I. Baskin. Non-rigid motion estimation using the robust tensor method. IEEE CVPR Workshop on Articulated and Nonrigid Motion, volume 1, pages 25--33, 2004.

#48: C. Weele, H. Jiang, K. K. Palaniappan, V. B. Ivanov, K. Palaniappan, and T. I. Baskin

A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth: Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone

Plant Physiology, Volume 132, pgs. 1138--1148, 2003

detection, segmentation, features, tracking, plants, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Baskin:PlantPhys-2003-long,
  author = "C. Weele and H. Jiang and K. K. Palaniappan and V. B. Ivanov and K. Palaniappan and T. I. Baskin",
  title = "A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth: Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone",
  year = 2003,
  journal = "Plant Physiology",
  volume = 132,
  number = 3,
  pages = "1138--1148",
  month = "Jul",
  keywords = "detection, segmentation, features, tracking, plants, biomedical",
  doi = "10.1104/pp.103.021345",
  url = "http://www.plantphysiol.org/content/132/3/1138"
}

C. Weele, H. Jiang, K. K. Palaniappan, V. B. Ivanov, K. Palaniappan, and T. I. Baskin. A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth: Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone. Plant Physiology, volume 132, issue 3, pages 1138--1148, July 2003.

#49: H. S. Jiang, K. Palaniappan, and T. I. Baskin

A combined matching and tensor method to obtain high fidelity velocity fields from image sequences of the non-rigid motion of the growth of a plant root

IASTED Int. Conf. on Biomedical Engineering, pgs. 159--165, 2003

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

Abstract, Bibtex, PlainText, URL, Google Scholar

@inproceedings{Jiang:BioMed-2003,
  author = "H. S. Jiang and K. Palaniappan and T. I. Baskin",
  title = "A combined matching and tensor method to obtain high fidelity velocity fields from image sequences of the non-rigid motion of the growth of a plant root",
  year = 2003,
  booktitle = "IASTED Int. Conf. on Biomedical Engineering",
  pages = "159--165",
  keywords = "detection, segmentation, features, tracking, convex relaxation, plants, biomedical",
  url = "http://www.actapress.com/PaperInfo.aspx?paperId=13363"
}

H. S. Jiang, K. Palaniappan, and T. I. Baskin. A combined matching and tensor method to obtain high fidelity velocity fields from image sequences of the non-rigid motion of the growth of a plant root. IASTED Int. Conf. on Biomedical Engineering, pages 159--165, 2003.

#39: Y. Zhao, X. Zhou, K. Palaniappan, and X. Zhuang

Statistical modeling for improved land cover classification

SPIE Battlespace Digitization and Network-Centric Warfare II, Volume 4741, pgs. 296--304, 2002

gis, classification, segmentation, data mining, machine learning, remote sensing

Abstract, Bibtex, PlainText, PDF, DOI, Google Scholar

@inproceedings{Zhao:landcover-SPIE-2002,
  author = "Y. Zhao and X. Zhou and K. Palaniappan and X. Zhuang",
  title = "Statistical modeling for improved land cover classification",
  year = 2002,
  booktitle = "SPIE Battlespace Digitization and Network-Centric Warfare II",
  volume = 4741,
  pages = "296--304",
  keywords = "gis, classification, segmentation, data mining, machine learning, remote sensing",
  doi = "10.1117/12.478725"
}

Y. Zhao, X. Zhou, K. Palaniappan, and X. Zhuang. Statistical modeling for improved land cover classification. SPIE Battlespace Digitization and Network-Centric Warfare II, volume 4741, pages 296--304, 2002.

#33: K. Palaniappan and F. Zhu

Automatic land cover classification using evolutionary algorithms and decision trees

16th IFIP World Computer Congress 2000, Proc. Int. Conf. on Intelligent Information Processing, pgs. 327--332, 2000

gis, classification, segmentation, data mining, machine learning, remote sensing

Bibtex, PlainText, Google Scholar

@inproceedings{Pal:landcover-2000,
  author = "K. Palaniappan and F. Zhu",
  title = "Automatic land cover classification using evolutionary algorithms and decision trees",
  year = 2000,
  booktitle = "16th IFIP World Computer Congress 2000, Proc. Int. Conf. on Intelligent Information Processing",
  pages = "327--332",
  keywords = "gis, classification, segmentation, data mining, machine learning, remote sensing"
}

#32: K. Palaniappan, F. Zhu, X. Zhuang, Y. Zhao, and A. Blanchard

Enhanced binary tree genetic algorithm for automatic land cover classification

IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Volume II, pgs. 688--692, 2000

gis, classification, segmentation, data mining, machine learning, remote sensing

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Pal:landcover-BTGA-2000,
  author = "K. Palaniappan and F. Zhu and X. Zhuang and Y. Zhao and A. Blanchard",
  title = "Enhanced binary tree genetic algorithm for automatic land cover classification",
  year = 2000,
  booktitle = "IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS)",
  volume = II,
  pages = "688--692",
  keywords = "gis, classification, segmentation, data mining, machine learning, remote sensing",
  doi = "10.1109/IGARSS.2000.861672",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=861672"
}

K. Palaniappan, F. Zhu, X. Zhuang, Y. Zhao, and A. Blanchard. Enhanced binary tree genetic algorithm for automatic land cover classification. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), volume II, pages 688--692, 2000.

#30: F. Zhu, Y. Zhao, K. Palaniappan, X. Zhou, and X. Zhuang

Optimal Bayesian classifier for land cover classification using Landsat TM data

IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), Volume I, pgs. 447--450, 2000

gis, classification, segmentation, data mining, machine learning, remote sensing

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Zhao:landcover-BTGA-2000,
  author = "F. Zhu and Y. Zhao and K. Palaniappan and X. Zhou and X. Zhuang",
  title = "Optimal Bayesian classifier for land cover classification using Landsat TM data",
  year = 2000,
  booktitle = "IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS)",
  volume = I,
  pages = "447--450",
  keywords = "gis, classification, segmentation, data mining, machine learning, remote sensing",
  doi = "10.1109/IGARSS.2000.860560",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=860560"
}

F. Zhu, Y. Zhao, K. Palaniappan, X. Zhou, and X. Zhuang. Optimal Bayesian classifier for land cover classification using Landsat TM data. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), volume I, pages 447--450, 2000.

#25: J. Vass, K. Palaniappan, and X. Zhuang

Automatic spatio-temporal video sequence segmentation

IEEE Int. Conf. Image Processing, pgs. 958--962, 1998

detection, motion, segmentation, image analysis, color, shape, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Vass:ICIP-1998,
  author = "J. Vass and K. Palaniappan and X. Zhuang",
  title = "Automatic spatio-temporal video sequence segmentation",
  year = 1998,
  booktitle = "IEEE Int. Conf. Image Processing",
  pages = "958--962",
  keywords = "detection, motion, segmentation, image analysis, color, shape, data mining, cbir",
  doi = "10.1109/ICIP.1998.723681",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=723681"
}

J. Vass, K. Palaniappan, and X. Zhuang. Automatic spatio-temporal video sequence segmentation. IEEE Int. Conf. Image Processing, pages 958--962, 1998.

#23: J. Vass, J. Yao, A. Joshi, K. Palaniappan, and X. Zhuang

Interactive image retrieval over the Internet

17th IEEE Symp. Reliable Distributed Systems, pgs. 461--466, 1998

segmentation, image analysis, color, shape, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Vass:image-retrieval-1998,
  author = "J. Vass and J. Yao and A. Joshi and K. Palaniappan and X. Zhuang",
  title = "Interactive image retrieval over the Internet",
  year = 1998,
  booktitle = "17th IEEE Symp. Reliable Distributed Systems",
  pages = "461--466",
  keywords = "segmentation, image analysis, color, shape, data mining, cbir",
  doi = "10.1109/RELDIS.1998.740541",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=740541"
}

J. Vass, J. Yao, A. Joshi, K. Palaniappan, and X. Zhuang. Interactive image retrieval over the Internet. 17th IEEE Symp. Reliable Distributed Systems, pages 461--466, 1998.

#13: Y. Huang, K. Palaniappan, X. Zhuang, and J. Cavanaugh

Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm

IEEE Trans. Pattern Analysis and Machine Intelligence, Volume 17, pgs. 1177--1190, 1995

motion, tracking, segmentation, image analysis, machine learning

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@article{Zhuang:PAMI-1995,
  author = "Y. Huang and K. Palaniappan and X. Zhuang and J. Cavanaugh",
  title = "Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm",
  year = 1995,
  journal = "IEEE Trans. Pattern Analysis and Machine Intelligence",
  volume = 17,
  number = 12,
  pages = "1177--1190",
  keywords = "motion, tracking, segmentation, image analysis, machine learning",
  doi = "10.1109/34.476510",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=476510"
}

Y. Huang, K. Palaniappan, X. Zhuang, and J. Cavanaugh. Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm. IEEE Trans. Pattern Analysis and Machine Intelligence, volume 17, issue 12, pages 1177--1190, 1995.

#12: Y. Huang, K. Palaniappan, X. Zhuang, and J. Cavanaugh

Optic flow segmentation and motion estimation using a robust genetic partitioning algorithm

IEEE Workshop on Nonlinear Signal and Image Processing, pgs. 698--701, 1995

motion, tracking, segmentation, image analysis

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{YHuang:optic-flow-1995,
  author = "Y. Huang and K. Palaniappan and X. Zhuang and J. Cavanaugh",
  title = "Optic flow segmentation and motion estimation using a robust genetic partitioning algorithm",
  year = 1995,
  booktitle = "IEEE Workshop on Nonlinear Signal and Image Processing",
  pages = "698--701",
  keywords = "motion, tracking, segmentation, image analysis",
  doi = "10.1109/34.476510",
  url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=476510"
}

Y. Huang, K. Palaniappan, X. Zhuang, and J. Cavanaugh. Optic flow segmentation and motion estimation using a robust genetic partitioning algorithm. IEEE Workshop on Nonlinear Signal and Image Processing, pages 698--701, 1995.

#5: K. Palaniappan, T. S. Huang, and H. Lee

Comparison of image matching criteria for obtaining projections

IEEE Int. Conf. Image Processing, pgs. 112--117, 1989

segmentation, features, image analysis, biomedical

Bibtex, PlainText, Google Scholar

@inproceedings{Palani:ICIP-1989,
  author = "K. Palaniappan and T. S. Huang and H. Lee",
  title = "Comparison of image matching criteria for obtaining projections",
  year = 1989,
  booktitle = "IEEE Int. Conf. Image Processing",
  pages = "112--117",
  keywords = "segmentation, features, image analysis, biomedical"
}

#6: K. Palaniappan, T. S. Huang, and H. Lee

Automated reading of DNA autoradiogram images using lane profiling methods

IEEE Int. Workshop on Industrial Applications of Machine Intelligence and Vision, pgs. 360--367, 1989

segmentation, features, image analysis, bioinformatics, biomedical

Abstract, Bibtex, PlainText, PDF, URL, Google Scholar

@inproceedings{Palani:readingDNA-1989,
  author = "K. Palaniappan and T. S. Huang and H. Lee",
  title = "Automated reading of DNA autoradiogram images using lane profiling methods",
  year = 1989,
  booktitle = "IEEE Int. Workshop on Industrial Applications of Machine Intelligence and Vision",
  pages = "360--367",
  keywords = "segmentation, features, image analysis, bioinformatics, biomedical",
  url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=40578"
}

K. Palaniappan, T. S. Huang, and H. Lee. Automated reading of DNA autoradiogram images using lane profiling methods. IEEE Int. Workshop on Industrial Applications of Machine Intelligence and Vision, pages 360--367, 1989.

#4: K. Palaniappan and T. S. Huang

Image analysis for DNA sequencing

SPIE Proceedings on Biomedical Image Processing II, Volume 1450, pgs. 186--197, 1989

segmentation, features, image analysis, bioinformatics, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar

@inproceedings{Palani:SPIE-1989,
  author = "K. Palaniappan and T. S. Huang",
  title = "Image analysis for DNA sequencing",
  year = 1989,
  booktitle = "SPIE Proceedings on Biomedical Image Processing II",
  volume = 1450,
  pages = "186--197",
  keywords = "segmentation, features, image analysis, bioinformatics, biomedical",
  doi = "10.1117/12.44310",
  url = "http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=960882"
}

K. Palaniappan and T. S. Huang. Image analysis for DNA sequencing. SPIE Proceedings on Biomedical Image Processing II, volume 1450, pages 186--197, 1989.

#3: G. F. McLean, K. Palaniappan, and M. E. Jernigan

An information based shape descriptor

Proc. IEEE Int. Conf. Systems, Man and Cybernetics, pgs. 705--709, 1985

segmentation, features, image analysis, shape

Bibtex, PlainText, Google Scholar

@inproceedings{Palani:McLean-SMC-1985,
  author = "G. F. McLean and K. Palaniappan and M. E. Jernigan",
  title = "An information based shape descriptor",
  year = 1985,
  booktitle = "Proc. IEEE Int. Conf. Systems, Man and Cybernetics",
  pages = "705--709",
  keywords = "segmentation, features, image analysis, shape"
}

46 publications with the keyword "segmentation"

deep learning, segmentation, vasculature, biomedical

hep-2 cell classification, cell segmentation, texture features, motif patterns, random forests, segmentation, biomedical

segmentation, interactive, gaussian elastic body, splines, firefly, visualization

random forest, segmentation, vasculature, confocal, biomedical

deep learning, histopathology, segmentation

segmentation, interactive, gaussian elastic body, splines

segmentation, videos, active contours

interactive, segmentation, wami, target selection

interactive, segmentation, focus

interactive, segmentation, vasculature, biomedical

random forest, segmentation, vasculature, biomedical

segmentation, interactive, elastic body, splines

biomedical, histopathology, segmentation, classification

segmentation, active contours, globally convex, biomedical

segmentation, interactive, elastic body, splines

segmentation, active contours, video, globally convex

segmentation, graph methods, chest x-ray, cbir, registration, biomedical

segmentation, graph methods, chest x-ray, machine learning, biomedical

segmentation, image enhancement, vasculature, biomedical

registration, segmentation, graph methods, anatomical, biomedical

active contours, color, texture, segmentation, features, fusion

detection, segmentation, active contours, motion, classification

detection, segmentation, active contours, motion, classification

detection, segmentation, active contours, motion, classification

histopathology, active contours, classification, segmentation, features, texture, biomedical

histopathology, active contours, classification, segmentation, features, texture, biomedical

histopathology, active contours, classification, segmentation, features, biomedical

texture, image enhancement, classification, segmentation, cbir

segmentation, image enhancement, active contours, vasculature, biomedical

cell segmentation, segmentation, active contours, data mining

image enhancement, features, detection, segmentation, denoising, convex relaxation

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

detection, segmentation, features, tracking, plants, biomedical

detection, segmentation, features, tracking, convex relaxation, plants, biomedical

gis, classification, segmentation, data mining, machine learning, remote sensing

gis, classification, segmentation, data mining, machine learning, remote sensing

gis, classification, segmentation, data mining, machine learning, remote sensing

gis, classification, segmentation, data mining, machine learning, remote sensing

detection, motion, segmentation, image analysis, color, shape, data mining, cbir

segmentation, image analysis, color, shape, data mining, cbir

motion, tracking, segmentation, image analysis, machine learning

motion, tracking, segmentation, image analysis

segmentation, features, image analysis, biomedical

segmentation, features, image analysis, bioinformatics, biomedical

segmentation, features, image analysis, bioinformatics, biomedical

segmentation, features, image analysis, shape