Ridge points in Euclidean distance maps
Pattern Recognition Letters
Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skeletonization via distance maps and level sets
Computer Vision and Image Understanding
Extraction of shape skeletons from grayscale images
Computer Vision and Image Understanding
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Robust Centerline Extraction Framework Using Level Sets
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Shape Representation and Classification Using the Poisson Equation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
Disconnected Skeleton: Shape at Its Absolute Scale
IEEE Transactions on Pattern Analysis and Machine Intelligence
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
A skeleton family generator via physics-based deformable models
IEEE Transactions on Image Processing
Shape extraction via heat flow analogy
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
The Groupwise Medial Axis Transform for Fuzzy Skeletonization and Pruning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Skeleton growing and pruning with bending potential ratio
Pattern Recognition
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Anti-geometric diffusion for adaptive thresholding and fast segmentation
IEEE Transactions on Image Processing
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We present a novel and effective skeletonization algorithm for binary and gray-scale images, based on the anisotropic heat diffusion analogy. We diffuse the image in the direction normal to the feature boundaries and also allow tangential diffusion (curvature decreasing diffusion) to contribute slightly. The proposed anisotropic diffusion provides a high quality medial function in the image: it removes noise and preserves prominent curvatures of the shape along the level-sets (skeleton features). The skeleton strength map, which provides the likelihood of a point to be part of the skeleton, is defined by the mean curvature measure. Finally, thin and binary skeleton is obtained by non-maxima suppression and hysteresis thresholding of the skeleton strength map. Our method outperforms the most related and the popular methods in skeleton extraction especially in noisy conditions. Results show that the proposed approach is better at handling noise in images and preserving the skeleton features at the centerline of the shape.