基于多尺度空间分析的图像阈值分割方法  

Image Threshold Segmentation Based on Multi-scale Space Analysis

作　　者：江柳[1] 沈未名[1] 种衍文[1] 段汉文[1] 

机构地区：[1]武汉大学多媒体网络通信工程湖北省重点实验室,武汉市珞喻路129号430079

出　　处：《武汉大学学报（信息科学版）》2002年第6期582-585,共4页Geomatics and Information Science of Wuhan University

摘　　要：在通过一阶差分确定阈值的基础上 ,依据多尺度滤波思想 ,提出一种基于多尺度空间分析的阈值分割方法对图像进行分割。将该方法与其他分割方法进行了比较 ,证明了本文算法的有效性。This paper proposes a method for image threshold segmentation using multi_scale space analysis.Multi_scale space is obtained through multi_scale filtering to original histogram of luminance.On the analysis of multi_scale space,the range of filtering scales is determined so as to avoid scales continually increasing/decreasing and improve the efficiency of algorithm.Then the original histogram is filtered by coarse_fine scale in the determined range of scales.Locations of significant inflexions at different scales can be obtained as thresholds by computing the second difference of the filtered histogram.Accroding to the number of inflexions at the largest scale and inflexions corresponding to graylevels,the fine locations of inflexions at the largest scale are obtained as thresholds.The result shows that the proposed algorithm is effective by contrast with other image segmentation algorithms.

关 键 词：图像分割 阈值 灰度直方图 多尺度空间 RGB格式 

分 类 号：TN911.73[电子电信—通信与信息系统]