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

by Vikram Dwivedi, Paresh Rawat, Nashrah Fatima
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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
  1. G. Nikifordis, I. Kalatzis , D. Cavouras, P. Bougioukos, S. Kostopoulos, A. Daskalakis,.”An efficient Clahe-based, spot adaptive image segmentation technique for improving microarray genes’ quantification”, Research gate 2012
  2. Ravichandran, C.G. , V. Magudeeswaran, “An Efficient Method for Contrast Enhancement in Still Images using Histogram Modification Framework”, Journal of Computer Science Vol. 8 No. 5: PP. 775-779, 2012.
  3. Y.-T. Kim Contrast Enhancement Using Brightness Preserving Bi-Histogram Equalization , IEEE Transactions on Consumer Electronics, Vol. 43, No. 1, FEBRUARY 1997
  4. Y.Wang, Q. chen, B. zhang, ”Image enhancement based on equal area dualistic sub-image histogram equalization method”, IEEE Transaction of Consumer Electronics Vol. 45, Issue 1, PP 68-75 Feb 1999.
  5. Harish parthsarthy,Tarun K. Rawat ,Prateek S. Sengar ,”Color image enhancement by scaling the discrete wavelet transform coefficients.”International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR), 2013
  6. Etta D, Pisano, S. Zong, R. E Jhonston “Contrast limited adaptive histogram equalization image processing to improve the detection of simulated speculation in Dense Monograms”, Journal of Digital Imaging, vol. 11, No. 4, pp 193-200, 1998
  7. Constantim Vertan ,”Histogram equalization of colour images using the adaptive neighbourhood approach”,
  8. Muhammad Suzuri Hitam,. Wan Nural Jawahir Hj Wan Yussof, Ezmahamrul Afreen Awalludin,, Zainuddin Bachok, “Mixture Contrast Limited Adaptive Histogram Equalization for Underwater Image Enhancement”,
  9. M. Abdullah-Al-Wadud, M. H. Kabir, M. A. A. Dewan, and Oksam Chae, “A dynamic histogram equalization for image contrast enhancement”, IEEE Trans. Consumer Electronics, vol. 53, no. 2, pp. 593 - 600, May 2007.
  10. Manpreet Kaur, Jasdeep Kaur, Jappreet Kaur, “Survey of Contrast Enhancement Techniques based on Histogram Equalization”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 7, 2011
  11. S. A. Hariprasad, Arunlal. K. S, Vikhar Ahmed, “Novel Weighted Mean Separated Histogram Equalization for Contrast Enhancement of Underwater Images”, International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013.
  12. K. K. Sharma, Supriya M.,” Color Image Enhancement using Nonlinear Mapping in Color and Transform Domains”, International Journal of Advanced Electronics & Communication Systems, Issue 2 Vol. 1 2012.
  13. Muhammad Suzuri Hitam,Wan Nural Jawahire Huj Wan Yussof,Ezmahamrul Afreen Awalludin, Zainuddin Bachok,”Mixture Contrast Limited Adaptive Histogram Equalization For Underwater Image Enhancement .
  14. Jyoti Singhai, Paresh Rawat, "Image Enhancement Method for Underwater, Ground and Satellite Images Using Brightness  Preserving Histogram Equalization with Maximum Entropy," iccima, vol. 3, pp.507-512, 2007 International Conference on Computational Intelligence and Multimedia Applications, 2007
Index Terms

Computer Science
Information Sciences

Keywords

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

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