Image Segmentation Using Entropy and Uniformity Measure

摘要：

A threshold segmentation algorithm based on Renyi’s entropy is presented. A new formula of the optimal threshold value with a simple expression form is gained. Renyi’s entropy has an adjustable parameter, which makes the processing results have uncertainty. Making use of the uniform measure and the maximum distance between classes, the optimal threshold value is defined. After the selection of the optimal threshold values, images with three peaks are well segmented.

关键词： Renyi’s entropy parameter optimal threshold value uniformity measure maximum image segmentation

作者: Dongzhi Yang Feng Wang

作者单位: School of Mathematical Sciences, Capital Normal University, Beijing, 100048, China

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 94-96

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）