Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Finite topology as applied to image analysis
Computer Vision, Graphics, and Image Processing
Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new characterization of three-dimensional simple points
Pattern Recognition Letters
Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
Distance-ordered homotopic thinning: a skeletonization algorithm for 3D digital images
Computer Vision and Image Understanding
Sequential Operations in Digital Picture Processing
Journal of the ACM (JACM)
C++ Templates
Penalized-Distance Volumetric Skeleton Algorithm
IEEE Transactions on Visualization and Computer Graphics
Loop removal from colon central path through skeleton scale-space tracking
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Three-Dimensional Skeletonization: Principle and Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topology correction of segmented medical images using a fast marching algorithm
Computer Methods and Programs in Biomedicine
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This paper describes a method to integrate digital topology informations in image-processing libraries. This additional information allows a library user to write algorithms respecting topological constraints, for example, a seed fill or a skeletonization algorithm. As digital topology is absent from most image-processing libraries, such constraints cannot be fulfilled. We describe and give code samples for all the structures necessary for this integration, and show a use case in the form of a homotopic thinning filter inside ITK. The obtained filter can be up to a hundred times as fast as ITK's thinning filter and works for any image dimension. This paper mainly deals of integration within ITK, but can be adapted with only minor modifications to other image-processing libraries.