Optimum green plane masking for the contrast enhancement of retinal images using enhanced genetic algorithm

Masking based techniques are well known and effective for contrast enhancement applications. The conventional unsharp masking in which fixed scale value is using irrespective of the types of test images. In this paper we propose an optimum green plane masking (OGPM) using enhanced genetic algorithm (EGA) for the contrast enhancement of retinal images. The green plane has more details of retinal images than the other two planes. The EGA can adaptively perform the selection, crossover and mutation of chromosomes. First, the proposed approach is evaluated using the standard test images and real time images for different contrast enhancement techniques and optimization techniques. Finally the proposed approach is used for the enhancement of retinal images. Results are analyzed using various performance measures and our OGPM shows better enhancement than other reported literature.