Add to ORKGA skeleton is a frequently-used feature to represent the general form of an object. The importance of this region-based shape feature is growing in medical image processing, too. This paper summarizes the major skeletonization approaches, the 3D parallel thinning methodologies and some emerging medical applications. An application to calculate the cross-sectional profiles of blood vessels is also presented
Extracting hepatic vasculature from three dimensional imagery is important for diagnosis of liver di...
A three-dimensional (3D) skeletonization algorithm extracts the skeleton of a 3D model and provides ...
International audienceIn digital image processing, skeletonization is a valuable technique for the c...
Thinning is a frequently used method for extracting skeletons in discrete spaces. This paper present...
Skeletonization is an iterative process frequently used in image processing to reduce the pictorial ...
In the clinical practice of diagnosis and treatment of liver disease, how to effectively represent a...
Skeletonization is a transformation of a component of a digital image into a subset of the original ...
In this study, we focused on developing a novel 3D Thinning algorithm to extract one-voxel wide skel...
Medical imaging is still mainly focusing on visualization and data communication. However, applicati...
This paper aims at three aspects closely related to each other: first, it presents the state of the ...
Thinning operations and distance transforms have long been used in extracting skeleton information o...
In this paper a new algorithm is proposed for skeletonizing binary digital images. The algorithm doe...
This communication presents a new method to com-pute a precise shape-dependant skeleton and its appl...
This monograph aims to study the problem of thinning, also known by Image Skeletonization, to explor...
International audienceObjective : A general method was developed to analyze and describe tree-like s...
Extracting hepatic vasculature from three dimensional imagery is important for diagnosis of liver di...
A three-dimensional (3D) skeletonization algorithm extracts the skeleton of a 3D model and provides ...
International audienceIn digital image processing, skeletonization is a valuable technique for the c...
Thinning is a frequently used method for extracting skeletons in discrete spaces. This paper present...
Skeletonization is an iterative process frequently used in image processing to reduce the pictorial ...
In the clinical practice of diagnosis and treatment of liver disease, how to effectively represent a...
Skeletonization is a transformation of a component of a digital image into a subset of the original ...
In this study, we focused on developing a novel 3D Thinning algorithm to extract one-voxel wide skel...
Medical imaging is still mainly focusing on visualization and data communication. However, applicati...
This paper aims at three aspects closely related to each other: first, it presents the state of the ...
Thinning operations and distance transforms have long been used in extracting skeleton information o...
In this paper a new algorithm is proposed for skeletonizing binary digital images. The algorithm doe...
This communication presents a new method to com-pute a precise shape-dependant skeleton and its appl...
This monograph aims to study the problem of thinning, also known by Image Skeletonization, to explor...
International audienceObjective : A general method was developed to analyze and describe tree-like s...
Extracting hepatic vasculature from three dimensional imagery is important for diagnosis of liver di...
A three-dimensional (3D) skeletonization algorithm extracts the skeleton of a 3D model and provides ...
International audienceIn digital image processing, skeletonization is a valuable technique for the c...