New Method for JiaGuWen Image Segmentation Based on MRF and Fuzzy Clustering

被引：0
|
作者：
He Xiaoju [1 ,2 ]
Liao Zhiwu [2 ]
机构：
[1] Anyang Univ, Sch Aviat Engn, Anyang, Peoples R China
[2] Sichuan Nomal Univ, Sch Comp Sci, Chengdu, Sichuan, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON SECURITY, PATTERN ANALYSIS, AND CYBERNETICS (SPAC) | 2017年
基金：
中国国家自然科学基金;
关键词：
Fuzzy clustering; Markov random; JiaGuWen image;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
JiaGuWen image segmentation is a challenge because of their illegible writing, serious noises and broken strokes. We propose a new segmentation method based on MRF and fuzzy clustering because of their good performance in image segmentation. The segmentation is based on a new random function considering both ambiguity and spatial relationship of image pieds simultaneously. The New adaptive balance coefficient is computed according to the gray level of the considering pixel and the mean, standard deviation of the neighbor. The final value of the new random function is searching by iteration. The experiments show that the new method has good performance for JiaGuWen image segmentation.
引用
收藏
页码：204 / 208
页数：5
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