Complicated image's binarization based on method of maximum variance

被引：0

作者：

Bai, Jie

Yang, Yao-Quan

Tian, Rui-Li

机构：

来源：

PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年

关键词：

binarization; threshold; Bayes algorithm; maximum variance between clusters;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Image binarization is an important preceding task in image processing and analysis. But the effect of common methods such as Ostu and Bernen are not well when the image's luminance isn't equal or the contrast is deficient etc. So, a binarization method based on spatial distributing and improved maximum variance is used in this paper. This method combined the characteristic of image's spatial distributing and the statistic characteristic of maximum variance in and between clusters. The processing speed is much faster, and artifacts and broken strokes are eliminated.

引用

页码：3782 / 3785

页数：4