Threshold selection using competitive algorithm

被引：1
|
作者：
He, Jinguo [1 ]
机构：
[1] Cent Univ Nationalities, Sch Sci, Beijing, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS | 2010年
关键词：
threshold selection; competitive algorithm; histogram;
D O I：
10.1109/WKDD.2010.102
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Automatic threshold selection is significant in image segmentation, understanding and recognition. Finding global minimum of the histogram is difficult because many algorithms fail to end in a local minimum. A new competitive algorithm is proposed to automatically select threshold based on histogram analysis. Given a random initial value, the new algorithm begins to renew the value towards global minimum without stopping at local minimum by a competitive scheme. With the new algorithm, the briefness, low computation, and stability characteristic of threshold segmentation is reserved.
引用
收藏
页码：288 / 290
页数：3
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