Texture discrimination based on an optimal utilization of texture features

Pattern Recognition

Volumn 21, Issue 2, 1988, Pages 141-146

  He, Dong Chien ^a   Wang, Li ^b   Guibert, Jean ^a  

^a STATION DE RADIOASTRONOMIE DE NANÇAY   (France)

^b ECOLE NORMALE SUPÉRIEURE   (France)

Author keywords

Brodatz; Classification; Discrimination; Optimization; Texture

Indexed keywords

COMPUTER PROGRAMMING - ALGORITHMS; OPTIMIZATION;

BRODATZ'S FEATURES; DIRECT IMAGE; INTENSITY VARIATIONS; TEXTURE ANALYSIS; TEXTURE DISCRIMINATION; TEXTURE FEATURES;

IMAGE PROCESSING;

BRODATZ; CLASSIFICATION; DISCRIMINATION; OPTIMIZATION;

EID: 0023826134     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(88)90020-9     Document Type: Article

References (13)

1. Textural features for image classification
2. Neighboring gray level dependence matrix for texture classification
3. Segmentation of a high-resolution urban scene using texture operators
4. Texture classification using averages of local pattern matches
5. Edge-based texture measures
6. Statistical and structural approaches to texture
7. Finding structure in cooccurrence matrices for texture analysis
8. Structural analysis of natural textures by Fourier transformation
9. Texture discrimination based on detailed measures of the power spectrum
10. A directional filtering approach to texture discrimination
11. A spatial filtering approach to texture analysis
12. M.A.M.A. Project. A new measuring machine in Paris