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» Skeletonization by Gradient Regularization and Diffusion
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ICDAR
2007
IEEE
14 years 5 months ago
Skeletonization by Gradient Regularization and Diffusion
This paper describes a skeletonization process for grayscale or color images based on the diffusion of the color gradient vectors by using a simple iterative regularization scheme...
Frank Lebourgeois, Hubert Emptoz
ICIP
2007
IEEE
14 years 5 months ago
Skeletonization using SSM of the Distance Transform
This paper proposes a new approach for skeletonization based on the skeleton strength map (SSM) caculated by Euclidean distance transform of a binary image. After the distance tra...
Longin Jan Latecki, Quannan Li, Xiang Bai, Wenyu L...
TMI
2010
123views more  TMI 2010»
13 years 5 months ago
Optimal Experimental Design for Diffusion Kurtosis Imaging
Diffusion Kurtosis Imaging (DKI) is a new magnetic resonance imaging model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI param...
Dirk H. J. Poot, Arnold Jan den Dekker, Eric Achte...
CVPR
2008
IEEE
13 years 11 months ago
Intensity statistics-based HSI diffusion for color photo denoising
This paper presents a new image denoising model for real color photo noise removal. Our model is implemented in the hue, saturation and intensity (HSI) space. The hue and saturati...
Lei He, Chunming Li, Chenyang Xu
SCALESPACE
2009
Springer
14 years 5 months ago
Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization
Abstract. In this paper, we propose an orientation-matching minimization for denoising digital images with an additive noise. Inspired by the two-step algorithm in the TV-Stokes de...
Xue-Cheng Tai, Sofia Borok, Jooyoung Hahn