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Reseach Article

Image Set Creation using different Image Enhancement Technique for Underwater Image Segmentation

by Vikram Dwivedi, Paresh Rawat, Nashrah Fatima
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 10
Year of Publication: 2016
Authors: Vikram Dwivedi, Paresh Rawat, Nashrah Fatima
10.5120/ijca2016911409

Vikram Dwivedi, Paresh Rawat, Nashrah Fatima . Image Set Creation using different Image Enhancement Technique for Underwater Image Segmentation. International Journal of Computer Applications. 150, 10 ( Sep 2016), 1-4. DOI=10.5120/ijca2016911409

@article{ 10.5120/ijca2016911409,
author = { Vikram Dwivedi, Paresh Rawat, Nashrah Fatima },
title = { Image Set Creation using different Image Enhancement Technique for Underwater Image Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 10 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number10/26126-2016911409/ },
doi = { 10.5120/ijca2016911409 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:55:34.511945+05:30
%A Vikram Dwivedi
%A Paresh Rawat
%A Nashrah Fatima
%T Image Set Creation using different Image Enhancement Technique for Underwater Image Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 10
%P 1-4
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Underwater images suffer from less visibility problem due to principal of light refraction under water environment. Therefore, this paper address the problem of enhancing the contrast of the underwater images captured under different lightning conditions and depths. This paper presenting the comparison of the two distinct popular enhancement methods and it concluded that this different method generates two different image sets from original low contrast image. These sets can be further utilized for object segmentation using fuzzy based clustering methods efficiently. Paper presents enhancement using contrast limit adaptive histogram equalization (CLAHE) and, global contrast adjustment method.. The CLAHE method is used to the images so that contrast of output images is improved also gives better information. It is concluded that using the different contrast enhancement method different image data set can be created for same input image which can be utilized for higher level processing task and features extractions.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Contrast enhancement Contrast adjustment Contrast limited Adaptive Histogram Equalization Dual enhancement Entropy