Minimum cross entropy thresholding

Pattern Recognition

Volumn 26, Issue 4, 1993, Pages 617-625

  Li, C H ^a   Lee, C K ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Image segmentation; Maximum entropy method; Minimum cross entropy; Thresholding

Indexed keywords

ALGORITHMS;

HISTOGRAM; IMAGE SEGMENTATION; MAXIMUM ENTROPY METHOD; MINIMUM CROSS ENTROPY; THRESHOLDING;

IMAGE PROCESSING;

EID: 0027574929     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(93)90115-D     Document Type: Article

References (19)

1. A survey of thresholding techniques
2. A gray-level threshold selection method based on maximum entropy principle
3. Threshold selection based on a simple image statistics
4. A new approach to clustering
5. Minimum error thresholding
6. A threshold selection method from gray-level histogram
7. Improvement of Kittler and Illingworth's minimum error thresholding
8. Information theory and statistical mechanics
9. On the rationale of maximum-entropy methods
10. Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross entropy
11. Properties of two-dimensional maximum entropy power spectral estimation
12. A new method for grey level thresholding using the entropy of the histogram
13. Entropic thresholding, a new approach
14. A new method for grey-level picture thresholding using the entropy of the histogram
15. A gray-level threshold selection method based on maximum entropy principle