2-D Maximum Entropy Method of Image Segmentation Based on Differential Evolution

摘要：

Two-dimensional(2-D) maximum entropy image segmentation method is analyzed in this paper. For the problems that the method is complex and time-consuming during evaluating threshold, a 2-D maximum entropy image segmentation based on Differential Evolution (DE) is presented. The proposed method can fast search the maximum entropy value in the search space using differential evolution algorithm, and takes the corresponding gray value of pixels and the average gray of regions as the threshold for image segmentation. The experiment results indicate that the proposed method can not only obtain the perfect performance of segmentation, but also greatly improve the calculation speed comparing with the traditional method.

关键词： Maximum entropy differential evolution (DE) threshold Image segmentation

作者: Zhang Shaojuan Jia Cunliang Liu Jingzhi Dong Lifang

作者单位: China University of Mining and Technology,Xuzhou Jiangsu 221008,China

会议类型: 国际会议

会议名称: The Second International Symposium on Test Automation & Instrumentation(ISTAI2008)(第二届国际自动化测试与仪器仪表学术会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）