Research on Immune Algorithm based Method for SAR Image Segmentation
Bo Hua①; Ma Fu-long①; Jiao Li-cheng②
①Department of Automatization, Xidian University, Xi’an 710071, China; ②Institute of Intelligent Information Processing, Xidian University, Xi’an 710071, China
Abstract：The Immune Algorithm (IA) is proposed with analogies to the concept and the theory of immunity in life science. It inherits the advantages of Genetic Algorithm (GA) and avoids the deterioration-phenomenon. Spatial matrix describes the probabilities that one area is the neighbor of other areas. Because different areas in SAR images have different textural features and have big contrast, the spatial matrix of SAR image has the character that the probability of the areas of same kind is bigger and the probability of the areas of different kinds is smaller. By using this feature of the spatial matrix of SAR image as the vaccine, this paper employs IA to search the best segmentation-threshold. Simulation results show that this method is effective for SAR image segmentation and the performance of the method is better than the present algorithm.
薄华; 马缚龙; 焦李成. 基于免疫算法的SAR图像分割方法研究[J]. 电子与信息学报, 2007, 29(2): 375-378 .
Bo Hua; Ma Fu-long; Jiao Li-cheng. Research on Immune Algorithm based Method for SAR Image Segmentation. , 2007, 29(2): 375-378 .
2007, Vol. 29 
