A classification methodology for color textures using multispectral random field mathematical models

Mathematical and Computational Applications

Volumn 11, Issue 2, 2006, Pages 111-120

  Khotanzad, Alireza ^a   Bennett, Jesse W ^a   Hernandez, Orlando J ^b  

^a Southern Methodist University   (United States)

^b The College of New Jersey   (United States)

Author keywords

Color Texture; Color Texture Features; Mutispectral Random Field Models; Texture Classification

Indexed keywords

COLOR; FUNCTIONS; MATHEMATICAL MODELS; RANDOM PROCESSES;

COLOR TEXTURE; COLOR TEXTURE FEATURES; MULTISPECTRAL RANDOM FIELD MODELS; TEXTURE CLASSIFICATION;

TEXTURES;

EID: 31344470881     PISSN: 1300686X     EISSN: None     Source Type: Journal    
DOI: 10.3390/mca11020111     Document Type: Article

References (7)

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3. R. Chellappa and R. L. Kashyap, Synthetic Generation and Estimation in Random Field Models of Images, Proc. IEEE Computer Society Conference on Pattern Recognition and Image Processing, 577-582, Dallas, TX, Aug. 1981.
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5. R. Chellappa and S. Chatterjee, Classification of Textures Using Gaussian Markov Random Fields, IEEE Trans. on Acoustics, Speech, and Signal Processing, ASSP-33, 959-963, Aug. 1985.
6. Vision and Modeling Group, MIT Media Laboratory, Vision Texture (VisTex) Database, http://www-white.media.mit.edu/vismod/, 1995.
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