Kapur's and Otsu's based optimal multilevel image thresholding using social spider and firefly algorithm

Histogram based multilevel thresholding is one of the most aggressive methods to realize image segmentation. We have used histogram based multilevel thresholding as a gray image applying Firefly and social spider algorithm. For thresholding, we have worked on Kapur's and Otsu's methods to maximize the objective function values. We have used standard images, and the result shows that firefly algorithm has performed well than social spider algorithm as compared with optimal threshold values and computational time.