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Reseach Article

Novel Image Superpixel Segmentation Approach using LRW Algorithm

Published on May 2014 by Arpita G.chakkarwar, M.v.sarode
National Level Technical Conference X-PLORE 2014
Foundation of Computer Science USA
XPLORE2014 - Number 1
May 2014
Authors: Arpita G.chakkarwar, M.v.sarode
ce34cc67-3188-4a54-8d00-3042d8d048c7

Arpita G.chakkarwar, M.v.sarode . Novel Image Superpixel Segmentation Approach using LRW Algorithm. National Level Technical Conference X-PLORE 2014. XPLORE2014, 1 (May 2014), 23-26.

@article{
author = { Arpita G.chakkarwar, M.v.sarode },
title = { Novel Image Superpixel Segmentation Approach using LRW Algorithm },
journal = { National Level Technical Conference X-PLORE 2014 },
issue_date = { May 2014 },
volume = { XPLORE2014 },
number = { 1 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 23-26 },
numpages = 4,
url = { /proceedings/xplore2014/number1/16168-1418/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Level Technical Conference X-PLORE 2014
%A Arpita G.chakkarwar
%A M.v.sarode
%T Novel Image Superpixel Segmentation Approach using LRW Algorithm
%J National Level Technical Conference X-PLORE 2014
%@ 0975-8887
%V XPLORE2014
%N 1
%P 23-26
%D 2014
%I International Journal of Computer Applications
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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Index Terms

Computer Science
Information Sciences

Keywords

Lazy Random Walk Commute Time Optimization Superpixel Texture.