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ISM
2005
IEEE
149views Multimedia» more  ISM 2005»
13 years 10 months ago
Image Segmentation Using Curve Evolution and Anisotropic Diffusion: An Integrated Approach
In this paper, a new model is proposed for image segmentation that integrates the curve evolution and anisotropic diffusion methods. The curve evolution method, utilizing both grad...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
CVPR
2010
IEEE
14 years 21 days ago
A Diffusion Approach to Seeded Image Segmentation
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
ICIAP
2003
ACM
14 years 4 months ago
Automatic segmentation of MR images based on adaptive anisotropic filtering
A novel approach to the detection of multiple sclerosis (MS) lesions is presented, which uses an adaptive formulation of the anisotropic diffusion and fuzzy-c-means (FCM) clusteri...
Edoardo Ardizzone, Roberto Pirrone, Orazio Gambino
CAGD
2005
203views more  CAGD 2005»
13 years 4 months ago
Anisotropic smoothing of point sets,
The use of point sets instead of meshes became more popular during the last years. We present a new method for anisotropic fairing of a point sampled surface using an anisotropic ...
Carsten Lange, Konrad Polthier
ICIP
2002
IEEE
14 years 6 months ago
Image segmentation using curve evolution and flow fields
An image segmentation scheme that utilizes image-based flow fields in a curve evolution framework is presented. Geometric curve evolution methods require an edge function and a ve...
Baris Sumengen, B. S. Manjunath, Charles S. Kenney