A new entropy and logarithmic based binarization algorithm for grayscale images

被引：0
|
作者：
Mello, CAB [1 ]
机构：
[1] Univ Fed Pernambuco, Escola Politecn Pernambuco, Recife, PE, Brazil
来源：
Proceedings of the Sixth IASTED International Conference on Signal and Image Processing | 2004年
关键词：
binarization; entropy;
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：
This paper describes a new entropy-based binarization algorithm for grayscale images. One of the main features of is the implementation of changes in the logarithmic base to define the ideal threshold value which is a new view in the subject. The bi-level images are compared with versions generated by several well-known thresholding algorithms described in literature.
引用
收藏
页码：418 / 423
页数：6
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