A Novel Optimal Fuzzy System for Color Image Enhancement Using Bacterial Foraging
White balancing is an important step to correct the color value of pixels under varied color temperature of illuminations for color image processing. We have to do the image preprocessing of the color cast, and use the zone system with the white balance to solve this problem. Then we implement the biological intelligent algorithms for images segmentation, such as Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). We embed fuzzy inference strategies into the artificial bee colony system to construct a segmentation approach. It is to found the cluster centers with local spatial information in stead of global pixels’ intensities as well as we also used the PSO algorithm with maximum entropy thresholding and uniformity as the main structure to find the optimization threshold. The experimental results have shown that promising performance can be obtained.