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A novel approach to Deal with Salient Region Detection Problem

Published on October 2015 by Manish Paliwal, and Prashant N. Chatur
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International Conference on Advancements in Engineering and Technology (ICAET 2015)
Foundation of Computer Science USA
ICQUEST2015 - Number 5
October 2015
Authors: Manish Paliwal, and Prashant N. Chatur
96475b2f-d2f5-4cb2-9aa1-dd5d6331bb66

Manish Paliwal, and Prashant N. Chatur . A novel approach to Deal with Salient Region Detection Problem. International Conference on Advancements in Engineering and Technology (ICAET 2015). ICQUEST2015, 5 (October 2015), 26-29.

@article{
author = { Manish Paliwal, and Prashant N. Chatur },
title = { A novel approach to Deal with Salient Region Detection Problem },
journal = { International Conference on Advancements in Engineering and Technology (ICAET 2015) },
issue_date = { October 2015 },
volume = { ICQUEST2015 },
number = { 5 },
month = { October },
year = { 2015 },
issn = 0975-8887,
pages = { 26-29 },
numpages = 4,
url = { /proceedings/icquest2015/number5/23010-2897/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology (ICAET 2015)
%A Manish Paliwal
%A and Prashant N. Chatur
%T A novel approach to Deal with Salient Region Detection Problem
%J International Conference on Advancements in Engineering and Technology (ICAET 2015)
%@ 0975-8887
%V ICQUEST2015
%N 5
%P 26-29
%D 2015
%I International Journal of Computer Applications
Abstract

While considering the image processing operation estimation of Saliency become important parameter. Now a day several methods are exist for the Saliency estimation but no single method can achieve full accuracy or performance. In this Paperbased on reconsideration about existing methoda clear algorithm is proposed for saliency detection. The phases of algorithm comprises of Decomposition of image into compact and homogeneous elements which possess some spatial relationship corresponding to each other. Then compute the two parameter Uniqueness and Color Spatial Distribution. The parameter allows to preparation of Saliency map which capture the overall area of the Salient Object. In the detail experimental evaluation analysis of the all possible feature done and state out that the proposed method performs well on the all available method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Gaussian Filter Visual Saliency Saliency Map Gaussian Weight Mean Absolute Error Etc.