Otsu's Thresholding Method Based on Gray Level-Gradient Two-Dimensional Histogram

被引：31
|
作者：
Chen Yu [1 ]
Chen Dian-ren [1 ]
Li Yang [1 ]
Chen Lei [1 ]
机构：
[1] Changchun Univ Sci & Technol, Sch Elect Informat, Changchun, Peoples R China
来源：
2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 3 | 2010年
关键词：
image segmentation; threshold selection; twodimensional histogram; Otsu's method;
D O I：
10.1109/CAR.2010.5456687
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
according to the obvious deficiencies of the regional division of the traditional gray level-average gray level two-dimensional histogram, an improved twodimensional Otsu's threshold segmentation method and its fast algorithms based on gray level-gradient twodimensional histogram are given. The results show that this method can be better resistant to noises and the regions of segmentation bear a superior consistency, accurate borders and the running time of improved Otsu's method is less than traditional Otsu's method.
引用
收藏
页码：282 / 285
页数：4
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