A deformable template approach to detecting straight edges in radar images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 18, Issue 4, 1996, Pages 438-443

  Lakshmanan, Sridhar ^a   Grimmer, David ^a  

^a Department of Electrical and Computer Engineering   (United States)

Author keywords

Global shape models; Log normal densities; Metropolis algorithm; Millimeter wave images; Road boundary detection

Indexed keywords

ALGORITHMS; COMPUTER VISION; IMAGE ENHANCEMENT; MATHEMATICAL MODELS; MAXIMUM PRINCIPLE; MILLIMETER WAVES; MONTE CARLO METHODS; PROBLEM SOLVING; RADAR IMAGING; ROADS AND STREETS;

AUTOMOTIVE VISION; BAYESIAN SOLUTION; DEFORMABLE TEMPLATE APPROACH; GLOBAL SHAPE MODELS; LOG NORMAL DENSITIES; METROPOLI ALGORITHMS; MILLIMETER WAVE IMAGES; ROUND BOUNDARY DETECTION;

EDGE DETECTION;

EID: 0030127849     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.491625     Document Type: Article

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