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

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

Content Provider	Semantic Scholar
Author	Kim, Ki Baek
Copyright Year	2016
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. General Terms Image processing, Underwater Images,
File Format	PDF HTM / HTML
Alternate Webpage(s)	https://www.ijcaonline.org/archives/volume150/number10/26126-26126-2016911409?format=pdf
Alternate Webpage(s)	http://www.ijcaonline.org/archives/volume150/number10/dwivedi-2016-ijca-911409.pdf
Language	English
Access Restriction	Open
Subject Keyword	Adaptive histogram equalization Cluster analysis Extraction Image editing Image processing Image segmentation Visibility (geometry) biologic segmentation statistical cluster
Content Type	Text
Resource Type	Article

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