Scale-space and edge detection using anisotropic diffusion

by: P Perona, J Malik

Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 12, No. 7. (1990), pp. 629-639.

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Abstract

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

@article{citeulike:530734, abstract = {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}, author = {Perona, P. and Malik, J. }, citeulike-article-id = {530734}, journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on}, keywords = {diffusion, edge, scale-space}, number = {7}, pages = {629--639}, posted-at = {2008-05-07 09:12:59}, priority = {2}, title = {Scale-space and edge detection using anisotropic diffusion}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=56205}, volume = {12}, year = {1990} }

RIS record

TY - JOUR ID - citeulike:530734 L3 - citeulike-article-id:530734 TI - Scale-space and edge detection using anisotropic diffusion JF - Pattern Analysis and Machine Intelligence, IEEE Transactions on VL - 12 IS - 7 SP - 629 EP - 639 N2 - 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 KW - diffusion KW - edge KW - scale-space AU - Perona, P AU - Malik, J PY - 1990/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=56205 ER -

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