Threshold Image Segmentation Based on Granular Immune Algorithm

摘要：

Image segmentation is an important processing step in many image, video and computer vision applications. Artificial Immune Systems (AIS) is a diverse area of research that attempts to bridge the divide between immunological and engineering. In this paper, we present a threshold method based on granular immune algorithm (GIA) for image segmentation, which includes granular hierarchy and immunological mechanism. Based on two granular hierarchies, the method can not only execute multi-point parallel search from local to global searching field but also find better solutions with small generation and mean numbers of function values. So this method has better performance in stabilization and convergence that GA. Our experimental results indicate that the proposed method here is very suitable for image segmentation.

关键词： Image Segmentation Threshold Granular Hierarchy Artificial Immune System

作者: Xu Xinying Zhang Zhijun Xie Jun Xie Keming

作者单位: College of Information Engineering, Taiyuan University of Technology, Taiyuan, 030024, China College of Information Engineering, Taiyuan University of Technology, Taiyuan, 030024, China College

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 3512-3515

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）