Cluster Classification Characteristics of the Critical Principal Image Histogram Component

被引：0

作者：

Homnan, Bongkarn ^{[1
]}

Benjapolakul, Watit ^{[2
]}

机构：

[1] Dhurakij Pundit Univ, Res Ctr, Bangkok 10210, Thailand

[2] Chulalongkorn Univ, Fac Engn, Dept Elect Engn, Bangkok 10330, Thailand

来源：

2014 INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON) | 2014年

关键词：

cluster; component; critical; histogram; image;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

There are a lot of limit image histogram components in any image. This paper selects the principal image histogram components and evaluates them to get the critical one. As the central value of the image the critical principal image histogram component hold clusters and their distributions in the image. On the concept of the pixel distance, determinate mathematical model of probability and cumulative density functions categorize image sub clusters and their member details with the threshold of the difference and the threshold of the number of pixels, within the image coverage of the critical principal image histogram component.

引用

页数：4

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