3D boundary extraction of confocal cellular images using higher order statistics

Journal of Microscopy

Volumn 235, Issue 2, 2009, Pages 209-220

  Indhumathi, C ^a,b   Cai, Y Y ^a,b   Guan, Y Q ^c   Opas, M ^d  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c TEMASEK POLYTECHNIC   (Singapore)

^d UNIVERSITY OF TORONTO   (Canada)

Author keywords

Boundary detection; Confocal imaging; Higher order statistics; Volume visualization

Indexed keywords

EXTRACTION; OBJECT DETECTION; THREE DIMENSIONAL COMPUTER GRAPHICS;

BOUNDARY DETECTION; BOUNDARY EXTRACTION; CELL BIOLOGISTS; CELLULAR IMAGE; CONFOCAL IMAGING; HIGH ORDER STATISTICS; HIGHERORDER STATISTIC (HOS); IMAGE-ANALYSIS; INTRACELLULAR ORGANELLE; VOLUME VISUALIZATION;

HIGHER ORDER STATISTICS;

ALGORITHM; ANIMAL CELL; ANIMAL TISSUE; ARTICLE; CELL STRUCTURE; CONFOCAL MICROSCOPY; EMBRYO; FLUORESCENCE MICROSCOPY; IMAGE ANALYSIS; IMAGE PROCESSING; MOLECULAR IMAGING; MOUSE; NONHUMAN; NORMAL DISTRIBUTION; PRIORITY JOURNAL; RELIABILITY; SIGNAL TRANSDUCTION; THREE DIMENSIONAL IMAGING;

EID: 68349137406     PISSN: 00222720     EISSN: 13652818     Source Type: Journal    
DOI: 10.1111/j.1365-2818.2009.03203.x     Document Type: Article

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