A curve evolution approach to medical image magnification via the mumford-shah functional

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1935, Issue , 2000, Pages 246-255

  Tsai, Andy ^a   Yezzi, Anthony ^b   Willsky, Alan S ^a  

^a USA   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MEDICAL COMPUTING;

CURVE EVOLUTION; ENERGY FUNCTIONALS; IMAGE MAGNIFICATION; MISSING DATA PROBLEM; MISSING MEASUREMENTS; MUMFORD-SHAH FUNCTIONALS; NATURAL EXTENSION; PDE-BASED APPROACHES;

MEDICAL IMAGING;

EID: 70449456958     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-40899-4_25     Document Type: Conference Paper

References (8)

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8. A. Tsai, A. Yezzi, and A. Willsky, “A curve evolution approach to smoothing and segmentation using the Mumford-Shah functional,” CVPR, 2000.