Texture analysis and segmentation using modulation features, generative models, and weighted curve evolution

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 1, 2009, Pages 142-157

  Kokkinos, Iasonas ^a,b   Evangelopoulos, Georgios ^c   Maragos, Petros ^c  

^a ECOLE CENTRALE PARIS   (France)

^b INRIA SACLAY   (France)

^c NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

AM FM models; Cue combination; Curve evolution; Demodulation; Edge and feature detection; Generative models; Image models; Image processing and computer vision; Image segmentation; Segmentation; Statistical; Texture; Texture analysis

Indexed keywords

AMPLITUDE MODULATION; COMPUTER VISION; DEMODULATION; DIGITAL IMAGE STORAGE; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE RETRIEVAL; IMAGE SEGMENTATION; MODULATION; OPTICAL VARIABLES MEASUREMENT; PROBABILITY; TEXTURES;

AM-FM MODELS; CUE COMBINATION; CURVE EVOLUTION; EDGE AND FEATURE DETECTION; GENERATIVE MODELS; IMAGE MODELS; SEGMENTATION; STATISTICAL; TEXTURE ANALYSIS;

EDGE DETECTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; METHODOLOGY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 57149141804     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.33     Document Type: Article

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