Image segmentation of self-organizing neural networks based on tree-type coefficients in Contourlet domain

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

Volumn 30, Issue 5, 2008, Pages 843-846

  Xiang, Hai Lin ^a   Jia, Jian ^b   Jiao, Li Cheng ^a  

^a XIDIAN UNIVERSITY   (China)

^b NORTHWEST UNIVERSITY   (China)

Author keywords

Contourlet; Image segmentation; Multiresolution; Self organizing feature map

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONFORMAL MAPPING; EXPERIMENTS; FEATURE EXTRACTION; FUNCTIONS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; MARKOV PROCESSES; NEURAL NETWORKS; PROBABILITY; RANDOM PROCESSES; TREES (MATHEMATICS); WAVELET TRANSFORMS;

AERIAL IMAGING; BAYESIAN SEGMENTATION; CONDITION PROBABILITY; CONTOURLET; CONTOURLET DOMAIN; GEOMETRIC FEATURES; HIDDEN MARKOV TREE MODELS; MAXIMUM LIKELIHOOD CLASSIFICATION; MODEL ASSUMPTIONS; MOSAIC IMAGES; MULTI SCALING; MULTIRESOLUTION; NON-PARAMETRIC; PIXEL LEVEL; PROBABILITY DENSITIES; SAR IMAGING; SEGMENTATION METHODS; SEGMENTATION RESULTS; SELF-ORGANIZING FEATURE MAP; SELF-ORGANIZING NEURAL NETWORKS; TEXTURE IMAGES; WAVELET DOMAINS;

PROBABILITY DENSITY FUNCTION;

EID: 45949093276     PISSN: 1001506X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

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