On minimum cross-entropy thresholding

被引:135
作者
Pal, NR
机构
[1] Machine Intelligence Unit, Indian Statistical Institute, Calcutta 700035
关键词
information; cross entropy; thresholding; segmentation; object extraction;
D O I
10.1016/0031-3203(95)00111-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Over last few years several papers have been written on entropy-based thresholding. Some of these methods use the gray-level histogram, while others use entropy associated with the two-dimensional histogram or the co-occurrence matrix. Recently, Li and Lee proposed a thresholding scheme that is aimed to minimize the cross entropy. This note first points out a certain conceptual problem and then proposes two algorithms which are free from that problem. The proposed schemes are tested on several data sets. The results are encouraging.
引用
收藏
页码:575 / 580
页数:6
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