Application of Cuckoo Search Algorithm in Multi-threshold Image Segmentation
Xinni Liu, Miao Ma · Jisuanji gongcheng · 2013
(Abstract) )) )Aiming at the problem of searching multiple thresholds by exhaustive search, a new image multithresho ld segmentation algorithm based on Cuckoo Search(CS) algorithm is proposed in this paper. This algorithm employs Otsu method as the fitness function, and uses the favorable parallel searching performance of CS algorithm to quickly and accurately find the optimal thresholds of the image to be segmented. Experimental results show that CS algorithm outforms Bacterial Foraging(BF) algorithm and Artificial Bee Colony(ABC) algorithm in terms of segmentation speed and segmentation thresholds.