Guo Zilong,Wang Sun'an
(School of Mechanical Engineering,Xi'an Jiaotong University,Xi'an 710049,China)
Abstract: A novel fuzzy clustering method based on immune evolutionary algorithm (IEFCM) was presented to solve fuzzy edge detection problems in image processing. Based on the global stochastic searching method of classic genetic algorithm£¨GA£©, and using the diversity preservation strategy of antibodies in biology immunity mechanism, the method greatly improves the colony diversity of GA and has better global searching capability. The experimental results show that the method can not only correctly detect the fuzzy edge and exiguous edge, but also evidently restrain the degenerating phenomenon during the evolutionary process.
Keywords: immune evolutionary algorithm;fuzzy clustering algorithm;edge detection