Modified Cuckoo Search algorithm based Optimal Thresholding for Color Lip Image Segmentation

For interpretation and analysis of the desired image, segmentation is recognized as a significant operation. Presently, facial surgical planning is one of the significant segmentation applications. In order to segment the images, the general method is thresholding as it includes noise robustness, which is more natural and precise. By employing the optimal thresholding depending on cuckoo search algorithm for lip image segmentation, effective results can be attained. To further increase the results of CS algorithm, in this paper, we include Levi distribution with CS algorithm for lip image segmentation and derived a new CS-L algorithm. The presented CS-L algorithm is tested on a set of lip images and results are validated under several aspects. The obtained simulation outcome has verified the superiority of the presented method.