Textured image segmentation based on spatial dependence using a Markov random field model

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 2449-2452

  Schwartz, William Robson ^a   Pedrini, Hélio ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b FEDERAL UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

Image analysis; Image segmentation; Image texture analysis; Minimization methods

Indexed keywords

COARSE SEGMENTATION; ENERGY FUNCTIONS; GENERIC METHOD; IMAGE TEXTURE ANALYSIS; MARKOV RANDOM FIELD; MARKOV RANDOM FIELD MODEL; MINIMIZATION METHODS; RELAXATION METHODS; SEGMENTATION METHODS; SPATIAL DEPENDENCE; TEXTURE FEATURES; TEXTURED IMAGES;

COMPUTER VISION; IMAGE ANALYSIS; IMAGING SYSTEMS; OPTIMIZATION; TEXTURES; WAVELET TRANSFORMS;

IMAGE SEGMENTATION;

EID: 51449095433     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312772     Document Type: Conference Paper

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