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Scale-space and edge detection using anisotropic diffusion

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2 Author(s)
P. Perona ; Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA ; J. Malik

A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced. The diffusion coefficient is chosen to vary spatially in such a way as to encourage intraregion smoothing rather than interregion smoothing. It is shown that the `no new maxima should be generated at coarse scales' property of conventional scale space is preserved. As the region boundaries in the approach remain sharp, a high-quality edge detector which successfully exploits global information is obtained. Experimental results are shown on a number of images. Parallel hardware implementations are made feasible because the algorithm involves elementary, local operations replicated over the image

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IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:12 ,  Issue: 7 )