Boundary detection in medical images using edge following algorithm based on intensity gradient and texture gradient features

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 3 PART 1, 2011, Pages 567-573

  Somkantha, Krit ^a   Theera Umpon, Nipon ^a   Auephanwiriyakul, Sansanee ^a  

^a CHIANG MAI UNIVERSITY   (Thailand)

Author keywords

Boundary extraction; edge detection; edge following; image segmentation; vector field model

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; BOUNDARY DETECTION; BOUNDARY EXTRACTION; CARDIAC MAGNETIC RESONANCE IMAGES; COMPUTERIZED TOMOGRAPHY IMAGES; CONTOUR MODELS; EDGE FOLLOWING; EDGE MAP; GEODESIC ACTIVE CONTOUR MODEL; GRADIENT VECTOR FLOW SNAKES; GROUND TRUTH; INTENSITY GRADIENTS; KNEE JOINT; LEFT VENTRICLES; MEDICAL IMAGES; MR IMAGES; NOISE PROPERTIES; NOISY IMAGE; PRIOR KNOWLEDGE; SEGMENTATION TECHNIQUES; TEXTURE GRADIENT; ULTRASOUND IMAGES; VECTOR FIELD MODEL; VECTOR FIELDS; VECTOR IMAGES;

COMPUTERIZED TOMOGRAPHY; EDGE DETECTION; JOINTS (ANATOMY); MAGNETIC RESONANCE; MEDICAL IMAGING; TEXTURES; ULTRASONIC APPLICATIONS; VECTORS;

IMAGE SEGMENTATION;

ALGORITHM; AORTA; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC IMAGING; HEART LEFT VENTRICLE; IMAGE PROCESSING; IMAGE SEGMENTATION; KNEE; NOISE; NUCLEAR MAGNETIC RESONANCE; PERFORMANCE; PROSTATE; ULTRASOUND;

ALGORITHMS; HEART; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; KNEE JOINT; MAGNETIC RESONANCE IMAGING; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79952158160     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2091129     Document Type: Article

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