A Salient Object Detection Technique Based on Color Divergence
Authors: 
Sana Sahar Guia, Abdelkader Laouid, Reinhardt Euler, Mohammed Amine Yagoub, Ahcene Bounceur, Mohammad HammoudehAuthors Info & Claims
Sana Sahar Guia, Abdelkader Laouid, Reinhardt Euler, Mohammed Amine Yagoub, Ahcene Bounceur, Mohammad HammoudehAuthors Info & ClaimsArticle No.: 2, Pages 1 - 6
Abstract
Nowadays, multimedia and visual computing advances in digital technology make a potential change in human life. Many applications exploit the captured images from autonomous entities as data sources for several goals. In fact, these captured images need to be interpreted in order to extract their external environment. The researchers of this domain will meet some challenges such as how to detect and interpret the images’ context. This paper is to propose an efficient technique that detects objects of a given image based on the color divergence. The results clearly show the accuracy and the computation speed of the proposed technique compared with other methods.
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Published In
November 2020
313 pages
ISBN:9781450388863
DOI:10.1145/3440749
Copyright © 2020 ACM.
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Published: 13 May 2021
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ICFNDS '20
ICFNDS '20: The 4th International Conference on Future Networks and Distributed Systems
November 26 - 27, 2020
St.Petersburg, Russian Federation
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