Minimal surfaces extend shortest path segmentation methods to 3D

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 32, Issue 2, 2010, Pages 321-334

  Grady, Leo ^a  

^a SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

3D image segmentation; Boundary operator; Dijkstra's algorithm; Linear programming; Minimal surfaces; Minimum cost circulation network flow; Shortest paths; Total unimodularity

Indexed keywords

3D IMAGE SEGMENTATION; BOUNDARY OPERATOR; DIJKSTRA'S ALGORITHMS; MINIMAL SURFACES; NETWORK FLOWS; SHORTEST PATH; TOTAL UNIMODULARITY;

COMPUTATIONAL EFFICIENCY; COSTS; DIGITAL IMAGE STORAGE; DYNAMIC PROGRAMMING; IMAGE SEGMENTATION; LINEARIZATION; MATHEMATICAL OPERATORS; TWO DIMENSIONAL; WIRELESS SENSOR NETWORKS;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; HEART; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HEART; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED;

EID: 73849094741     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.289     Document Type: Article

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