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Survey and Comparative Analysis on Entropy Usage for Several Applications in Computer Vision

by Nitin Chamoli, Sneh Kukreja, Monika Semwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 16
Year of Publication: 2014
Authors: Nitin Chamoli, Sneh Kukreja, Monika Semwal

Nitin Chamoli, Sneh Kukreja, Monika Semwal . Survey and Comparative Analysis on Entropy Usage for Several Applications in Computer Vision. International Journal of Computer Applications. 97, 16 ( July 2014), 1-5. DOI=10.5120/17088-7620

@article{ 10.5120/17088-7620,
author = { Nitin Chamoli, Sneh Kukreja, Monika Semwal },
title = { Survey and Comparative Analysis on Entropy Usage for Several Applications in Computer Vision },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 16 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { },
doi = { 10.5120/17088-7620 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:24:14.948257+05:30
%A Nitin Chamoli
%A Sneh Kukreja
%A Monika Semwal
%T Survey and Comparative Analysis on Entropy Usage for Several Applications in Computer Vision
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 16
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

This paper presents a thorough study of different types of entropies. Application and comparison of various entropies have been considered with their effectiveness and suitability in different applications being explored. The usage of entropy in the fields of image thresholding, image reconstruction, image segmentation, and incorporation of entropy in tackling real life problems have been mentioned categorically. A comparative analysis of different forms of entropy accordingly to their suitability for various applications has been discussed.

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Index Terms

Computer Science
Information Sciences


Entropy computer vision thresholding segmentation restoration registration