Theoretical foundations of spatially-variant mathematical morphology part II: Gray-Level images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 30, Issue 5, 2008, Pages 837-850

  Bouaynaya, Nidhal ^a   Schonfeld, Dan ^b  

^a UNIVERSITY OF ARKANSAS AT LITTLE ROCK   (United States)

^b 1120 Science and Engineering Offices   (United States)

Author keywords

Adaptive orderstatistic filters; Gray level morphology; Linear time varying systems; Spatially variant mathematical morphology; Upper semicontinuous functions

Indexed keywords

ADAPTIVE FILTERS; COMPUTER VISION; IMAGE PROCESSING; TIME VARYING SYSTEMS;

GRAY-LEVEL MORPHOLOGY; SPATIALLY VARIANT MATHEMATICAL MORPHOLOGY; UPPER SEMICONTINUOUS FUNCTIONS;

MATHEMATICAL MORPHOLOGY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COLOR; COLORIMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COLOR; COLORIMETRY; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, THEORETICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 41749088465     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.70756     Document Type: Article

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