Shape extraction via heat flow analogy
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Moving-edge detection via heat flow analogy
Pattern Recognition Letters
Object detection with feature stability over scale space
Journal of Visual Communication and Image Representation
Low level moving-feature extraction via heat flow analogy
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
On using physical analogies for feature and shape extraction in computer vision
VoCS'08 Proceedings of the 2008 international conference on Visions of Computer Science: BCS International Academic Conference
On Using Anisotropic Diffusion for Skeleton Extraction
International Journal of Computer Vision
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We utilize an anisotropic diffusion model, which we call the anti-geometric heat flow, for adaptive thresholding of bimodal images and for segmentation of more general greyscale images. In a departure from most anisotropic diffusion techniques, we select the local diffusion direction that smears edges in the image rather than seeking to preserve them. In this manner, we are able rapidly to detect and discriminate between entire image regions that lie near, but on opposite sides of, a prominent edge. The detection of such regions occurs during the diffusion process rather than afterward, thereby side-stepping the most notorious problem associated with diffusion methods, namely, when diffusion should stop. We initially outline a procedure for adaptive thresholding, but ultimately show how this model may be used in a region splitting procedure which, when combined with energy based region merging procedures, provides a general framework for image segmentation. We discuss a fast implementation of one such framework and demonstrate its effectiveness in segmenting medical, military, and scene imagery.