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Novel Image Superpixel Segmentation Approach using LRW Algorithm
IJCA Proceedings on National Level Technical Conference X-PLORE 2014
© 2014 by IJCA Journal
XPLORE 2014
Year of Publication: 2014
Arpita G.chakkarwar and M.v.sarode. Article: Novel Image Superpixel Segmentation Approach using LRW Algorithm. IJCA Proceedings on National Level Technical Conference X-PLORE 2014 XPLORE2014:23-26, May 2014. Full text available. BibTeX
@article{key:article,
author = {Arpita G.chakkarwar and M.v.sarode},
title = {Article: Novel Image Superpixel Segmentation Approach using LRW Algorithm},
journal = {IJCA Proceedings on National Level Technical Conference X-PLORE 2014},
year = {2014},
volume = {XPLORE2014},
pages = {23-26},
month = {May},
note = {Full text available}
}
Abstract
We present a novel image superpixel segmentation approach using the proposed lazy random walk (LRW) algorithm in this paper. Our method begins with initializing the seed positions and runs the LRW algorithm on the input image to obtain the probabilities of each pixel. Then, the boundaries of initial superpixels are obtained according to the probabilities and the commute time. The initial superpixels are iteratively optimized by the new energy function, which is defined on the commute time and the texture measurement.
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