A combined watershed and level set method for segmentation of brightfield cell images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7259, Issue , 2009, Pages

  Tse, Shutong ^a   Bradbury, Laura ^a   Wan, Justin W L ^a   Djambazian, Haig ^b   Sladek, Robert ^b   Hudson, Thomas ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c ONTARIO INSTITUTE FOR CANCER RESEARCH   (Canada)

Author keywords

Brightfield; Cell image; Level set method; Microscopy; Segmentation; Watershed

Indexed keywords

BRIGHT-FIELD IMAGES; BRIGHTFIELD; C2C12 CELLS; CELL BOUNDARY; CELL DIVISIONS; CELL IMAGES; HUMAN ATTENTION; INTENSITY LEVELS; LEVEL SET; LEVEL SET FUNCTIONS; LEVEL SET METHOD; LEVEL SET SEGMENTATION; LOW CONTRAST; LOW CONTRAST IMAGE; MARKER EXTRACTION; MULTIPLE LEVELS; REGION GROWING; ROBUST SEGMENTATION; SEGMENTATION RESULTS; TOPOLOGICAL CHANGES;

CELL PROLIFERATION; DROP BREAKUP; EVOLUTIONARY ALGORITHMS; IMAGE SEGMENTATION; IMAGING SYSTEMS; LANDFORMS; MEDICAL IMAGING; OPTICAL DATA PROCESSING; SET THEORY; WATERSHEDS;

LEVEL MEASUREMENT;

EID: 71649099303     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.811747     Document Type: Conference Paper

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