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Bottom- up Approach for Salient Region Detection using Fixed Patch Sized Segmentation

by Ankita V. Raut, J. V. Shinde
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 10
Year of Publication: 2016
Authors: Ankita V. Raut, J. V. Shinde
10.5120/ijca2016910920

Ankita V. Raut, J. V. Shinde . Bottom- up Approach for Salient Region Detection using Fixed Patch Sized Segmentation. International Journal of Computer Applications. 146, 10 ( Jul 2016), 6-9. DOI=10.5120/ijca2016910920

@article{ 10.5120/ijca2016910920,
author = { Ankita V. Raut, J. V. Shinde },
title = { Bottom- up Approach for Salient Region Detection using Fixed Patch Sized Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 10 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number10/25432-2016910920/ },
doi = { 10.5120/ijca2016910920 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:02.687545+05:30
%A Ankita V. Raut
%A J. V. Shinde
%T Bottom- up Approach for Salient Region Detection using Fixed Patch Sized Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 10
%P 6-9
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Salient region detection refers to extracting important information from image while negotiating the remaining things. It can be used in many fields such as for compression of image by blurring unwanted part of image, classification of image, segmentation of object, recognition of object and many more. In this work, two different visual cues are combined together to overcome disadvantages of separate methods. In this method first image is segmented using segmentation algorithm and segmented image is given as input to two different visual cues that are compactness and local contrast and then both the maps are evaluated and combined together to obtain final saliency map.

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Index Terms

Computer Science
Information Sciences

Keywords

Contrast Diffusion process Compactness Salient region Segmentation.

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