High-precision boundary length estimation by utilizing gray-level information

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 2, 2009, Pages 357-363

  Sladoje, Natǎa ^a   Lindblad, Joakim ^b  

^a UNIVERSITY OF NOVI SAD   (Serbia)

^b Centre for Image Analysis   (Sweden)

Author keywords

Gray level; Length estimate; Perimeter; Pixel coverage; Quantization; Size and shape

Indexed keywords

GRAY LEVEL; LENGTH ESTIMATE; PERIMETER; QUANTIZATION; SIZE AND SHAPE;

ESTIMATION; MOBILE TELECOMMUNICATION SYSTEMS;

PIXELS;

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

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

EID: 62249172303     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.184     Document Type: Article

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