Structure-adaptive B-snake for segmenting complex objects

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 769-772

  Wang, Y ^a   Teoh, E K ^a   Shen, D ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; ITERATIVE METHODS; MATHEMATICAL MODELS; MEDICAL IMAGING; OBJECT RECOGNITION;

AUTOMATIC CONTROL POINT INSERTION; MINIMUM MEAN SQUARE ENERGY;

IMAGE SEGMENTATION;

EID: 0035168278     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Snakes: Active contour models
2. Quantitative coronary angiography with deformable spline models
3. Registering coronal histological 2-D sections of a rat brain with coronal sections of a 3-D brain atlas using geometric curve invariants and B-spline representation
4. Automated B-spline curve representation incorporating MDL and error-minimizing control point insertion strategies
5. Lane detection using B-snake
6. A novel lane model for lane boundary detection
7. Lane detection and tracking using B-snake
8. Unsupervised contour representation and estimation using B-splines and a minimum description length criterion
9. Snakes, shapes, and gradient vector flow