Optimization of Fuzzy Logic based Image Enhancement Using Artificial Immune System
|Title||Optimization of Fuzzy Logic based Image Enhancement Using Artificial Immune System|
|Publication Type||Journal Article|
|Year of Publication||2017|
|Authors||Jagatheswari, G.. K., and M. R|
|Journal||International Conference on Mathematical Modeling and Computational Methods in Science and Engineering (ICMMCMSE-2017)|
|Keywords||Department of Science and Humanities|
This paper presents a new approach to measure the contrast information which is optimized using artificial immune system. Artificial immune system (AIS) is introduced to measure the quality of the image. AIS is basically bio-inspired technique which is used to develop the computing method for solving many optimization problems. The overall gray distribution of the enhanced image of our approach becomes more uniform and achieves the effect of image enhancement.