#242:
U. Sampathkumar,
V. B. S. Prasath,
S. Meena, and
K. Palaniappan
Proc. IEEE Applied Imagery Pattern Recognition (AIPR),
2016
Abstract,
Bibtex,
PlainText,
Google Scholar
User driven interactive image segmentation provides a flexible framework for obtaining supervised object detection in digital images. We have recently proposed a novel user seed points based interactive segmentation approach with spline interpolation. In this work, we combine interactive segmentation method with a web based tool for visualization, segmentation, and tracking tool called Firefly. It is based on a Client-Server model written in Flex and PHP which uses MySQL database for storing the annotations. Firefly provides an automatic analysis of segmentation results by executing MATLAB scripts in the background. We provide user cases in segmenting natural, and biomedical imagery which requires minimal effort and no storage requirement on the user side.
@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.
