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…(more)
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%0 Journal Article
%1 56205
%A Perona, P.
%A Malik, J.
%D 1990
%J Pattern Analysis and Machine Intelligence, IEEE Transactions on
%K denoising filtering image_processing noise
%N 7
%P 629-639
%R 10.1109/34.56205
%T Scale-space and edge detection using anisotropic diffusion
%U http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=56205&tag=1
%V 12
%X 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{56205,
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},
added-at = {2014-07-23T13:40:50.000+0200},
author = {Perona, P. and Malik, J.},
biburl = {https://www.bibsonomy.org/bibtex/2b9736e11f6cfec4e7ec51ea4639cdfd0/alex_ruff},
description = {IEEE Xplore Abstract - Scale-space and edge detection using anisotropic diffusion},
doi = {10.1109/34.56205},
interhash = {ccc01fdfeeaf9f0f496dfe5fe038bc11},
intrahash = {b9736e11f6cfec4e7ec51ea4639cdfd0},
issn = {0162-8828},
journal = {Pattern Analysis and Machine Intelligence, IEEE Transactions on},
keywords = {denoising filtering image_processing noise},
month = jul,
number = 7,
pages = {629-639},
timestamp = {2014-07-23T13:40:50.000+0200},
title = {Scale-space and edge detection using anisotropic diffusion},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=56205&tag=1},
volume = 12,
year = 1990
}