Implementation of PSO & HB Image Enhancement Techniques For Tumor Detection

Image enhancement is a mean as the improvement of an image appearance by increasing dominance of some features or by decreasing ambiguity between different regions of the image. Many images such as medical images, remote sensing images, electron microscopy images and even real life photographic pictures, suffer from poor contrast. Therefore there are many techniques of image enhancement in image processing such as Fast Ostu's method, Histogram equalization (HE) method, Particle swarm optimization (PSO) , Honey Bee (HB) In this paper, a new approach to automatic image enhancement using HB is implemented by specifying intensity of the edges pixels and also earlier reported PSO results were used. Further comparatively analysis is performed between HB and PSO results. The obtained results indicate that the proposed HB yields better results in the terms of both the maximization of number of the pixels in the edges and peak signal to noise ratio (PSNR). Computational time is also relatively small in the HB as compared to the PSO.