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A Multiscale Particle Filter and Winding Number Constrained for Contour Detection

by Sonam Verma, Achint Chugh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 17
Year of Publication: 2015
Authors: Sonam Verma, Achint Chugh
10.5120/ijca2015907642

Sonam Verma, Achint Chugh . A Multiscale Particle Filter and Winding Number Constrained for Contour Detection. International Journal of Computer Applications. 131, 17 ( December 2015), 17-23. DOI=10.5120/ijca2015907642

@article{ 10.5120/ijca2015907642,
author = { Sonam Verma, Achint Chugh },
title = { A Multiscale Particle Filter and Winding Number Constrained for Contour Detection },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 17 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number17/23541-2015907642/ },
doi = { 10.5120/ijca2015907642 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:55.082560+05:30
%A Sonam Verma
%A Achint Chugh
%T A Multiscale Particle Filter and Winding Number Constrained for Contour Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 17
%P 17-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper compares the basic contour detection algorithms. A contour detection algorithm which jointly tracks at two scales small pieces of edges called edgelets. This multiscaleedgelet structure naturally embeds semi-local information and is the basic element of the recursive Bayesian modeling. The underlying model is estimated using a sequential Monte Carlo approach, and the soft contour detection map is retrieved from the approximated trajectory distribution. The winding number constrained contour detection (WNCCD) is an energy minimization framework based on winding number constraints. In this framework, both region cues, such as color/texture homogeneity, and contour cues, such as local contrast and continuity, are represented in a joint objective function, which has both region and contour labels. This technique is based on the topological concept of winding number. Using a fast method for winding number computation, a small number of linear constraints are derived to ensure label consistency. Experiments conducted on the Berkeley Segmentation data sets show that the Multi Scale Particle Filter Contour Detector method performs a comparable result with the winding number constrained contour detection method.

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Index Terms

Computer Science
Information Sciences

Keywords

Particle filtering sequential Monte Carlo methods statistical model multiscale contour detection BSDS

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