Diffusion-snakes: combining statistical shape knowledge and image information in a variational framework
- 13 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Statistical shape influence in geodesic active contoursPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Diffusion–Snakes Using Statistical Shape KnowledgePublished by Springer Nature ,2000
- Statistical deformable model-based segmentation of image motionIEEE Transactions on Image Processing, 1999
- Probabilistic visual learning for object representationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Prior learning and Gibbs reaction-diffusionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Active Shape Models-Their Training and ApplicationComputer Vision and Image Understanding, 1995
- Optimal approximations by piecewise smooth functions and associated variational problemsCommunications on Pure and Applied Mathematics, 1989
- Segmentation of image: by variational methods: A constructive approachRevista Matemática Complutense, 1988
- Snakes: Active contour modelsInternational Journal of Computer Vision, 1988