Markov random fields for texture classification

Pattern Recognition Letters

Volumn 14, Issue 11, 1993, Pages 907-914

  Chen, Chaur Chin ^a   Huang, Chung Ling ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Classifier; leave one out error; MRF; principal component projection

Indexed keywords

EID: 38248998510     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(93)90155-7     Document Type: Article

References (14)

1. Spatial interaction and the statistical analysis of lattice systems
2. Classification of textures using Gaussian Markov random fields
3. A nonparametric test for comparing estimators in Markov random fields
4. A theoretical comparison of texture algorithms
5. Markov random field texture models
6. Decorrelation methods of texture feature extraction
7. Textural features for image classification
8. Bootstrap technique for error estimation
9. Feature selection for texture recognition based on image synthesis
10. Performance evaluation for four classes of textural features
11. Textural features corresponding to visual perception
12. A comparative study of texture measures for terrain classification