46 publications with the keyword "segmentation"


#181: 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
#171: 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
#167: 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
#165: 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
#173: 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
#164: 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
#162: 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
#160: 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
#159: 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
#158: 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
#157: 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
#155: 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
#149: 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
#140: 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
#137: 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
#134: 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
#132: 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
#129: 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
#127: 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
#110: 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
#109: 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
#91: 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
#90: 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
#88: 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
#85: 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
#78: 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
#73: 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
#72: 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
#71: 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
#63: 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
#54: 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
#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
#49: 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
#48: 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
#40: 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
#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
#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
#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
#23: 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
#21: 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
#12: 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
#14: 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
#6: 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
#5: 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
#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
#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