Registering sequences of in vivo microscopy images for cell tracking using dynamic programming and minimum spanning trees

2014 IEEE International Conference on Image Processing, ICIP 2014

Volumn , Issue , 2014, Pages 3547-3551

  McArdle, Sara ^a,d   Acton, Scott T ^b   Ley, Klaus ^a   Ray, Nilanjan ^c  

^a LA JOLLA INSTITUTE FOR ALLERGY AND IMMUNOLOGY   (United States)

^b UNIVERSITY OF VIRGINIA   (United States)

^c UNIVERSITY OF ALBERTA   (Canada)

^d UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

Author keywords

dynamic programming; image sequence registration; in vivo microscopy; minimum spanning tree

Indexed keywords

COMPUTER VISION; IMAGE ACQUISITION; IMAGE PROCESSING; TELECOMMUNICATION NETWORKS; TREES (MATHEMATICS);

ILLUMINATION CHANGES; IMAGE SEQUENCE; IMAGE SIMILARITY; IN-VIVO; MICROSCOPIC IMAGE; MINIMUM SPANNING TREES; REGISTERED IMAGES; REGISTRATION METHODS;

DYNAMIC PROGRAMMING;

EID: 84949928910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2014.7025720     Document Type: Conference Paper

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