In situ image segmentation using the convexity of illumination distribution of the light sources

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 30, Issue 10, 2008, Pages 1786-1799

  Zhang, Li ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

B spline; Convexity; Illumination; Image segmentation; Thresholding

Indexed keywords

IMAGE PROCESSING; IMAGE SEGMENTATION; LIGHT SOURCES; LIGHTING; PIXELS; SPLINES;

B SPLINES; B-SPLINE; BACKGROUND PIXELS; CONTROL POINTS; CONVEXITY; GLOBAL THRESHOLDING; ILLUMINATION; ILLUMINATION DISTRIBUTION; IMAGE PIXELS; IN-SITU; NON-UNIFORM ILLUMINATION; ORIGINAL IMAGES; QUANTITATIVE EVALUATION; SEGMENTATION METHODS; THRESHOLDING;

LIGHT;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ILLUMINATION; IMAGE ENHANCEMENT; METHODOLOGY; PHOTOMETRY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LIGHTING; PATTERN RECOGNITION, AUTOMATED; PHOTOMETRY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 50249135958     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.70830     Document Type: Article

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