Manuscript Number : IJSRST173178
Adaptive Fuzzy Based Image Enhancement Techniques with Histogram
Authors(3) :-K.Narmada, N. Subraja, W. Rayezahamed Image Enhancement works an important aspect in digital image managing programs for both human and computer viewpoint. The major problem that improves in image improvement is quantifying the way of improvement thus needs interesting techniques to acquire satisfied results. The overall objective of this proposed work is to evaluate the performance of existing image enhancement techniques like Histogram equalization, adaptive histogram equalization and Fuzzy image enhancement technique. It has been found that the value of contrast parameter 'K'
in fuzzy method was taken statically as 128. To overcome this, to make contrast dynamic a new optimized fuzzy method have been proposed. Here different optimization techniques Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) have been used to optimize the contrast and the technique with best optimized contrast value is selected. The proposed technique is designed and implemented in MATLAB using image processing toolbox.
K.Narmada Contrast Enhancement, Color Image, Optimization Techniques, Fuzzy Method Publication Details
Published in : Volume 3 | Issue 1 | January-February 2017 Article Preview
Ph.d Research scholar, Department of Computer Science, Annamalai University, Chidambaram, Tamilnadu, India
N. Subraja
PG Student, Department of EEE, Annamalai University, Chidambaram, Tamilnadu, India
W. Rayezahamed
Asst professor, Department of EEE, Annamalai University, Chidambaram, Tamilnadu, India
Date of Publication : 2017-02-28
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 398-407
Manuscript Number : IJSRST173178
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST173178
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