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BILDMED
2008
176views Algorithms» more  BILDMED 2008»
13 years 6 months ago
Edge-Preserving Denoising for Segmentation in CT-images
In the clinical environment the segmentation of organs is an increasingly important application and used, for example, to restrict the perfusion analysis to a certain organ. In ord...
Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Jo...
DAGM
2006
Springer
13 years 8 months ago
Diffusion-Like Reconstruction Schemes from Linear Data Models
In this paper we extend anisotropic diffusion with a diffusion tensor to be applicable to data that is well modeled by linear models. We focus on its variational theory, and invest...
Hanno Scharr
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...
CBMS
2008
IEEE
14 years 3 months ago
Noise Filtering Using Edge-Driven Adaptive Anisotropic Diffusion
This paper presents a method aimed to noise removal in MRI (Magnetic Resonance Imaging). We propose an improvement of Perona and Malik's anisotropic diffusion filter. In ou...
Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,...
ICIP
1997
IEEE
14 years 6 months ago
Using mean field annealing to solve anisotropic diffusion problems
Anisotropic diffusion is a powerful method for image feature extraction in which blurring is allowed to occur except at edges. Mean field annealing (MFA) is an image optimization ...
Hairong Qi, Wesley E. Snyder, Griff L. Bilbro
CVPR
2003
IEEE
14 years 6 months ago
3D Shape from Anisotropic Diffusion
Paolo Favaro, Stanley Osher, Stefano Soatto, Lumin...

Lecture Notes
2770views
15 years 26 days ago
Lectures on Medical Image Analysis
Easy and neat set of lecture notes in Medical Image Analysis taught at West Virginia University by Prof. Tim McGraw. It covers several famous computer vision techniques such as act...
Tim McGraw