Perona, P. (1989) Anisotropic diffusion processes in early vision. In: 1989 Sixth Multidimensional Signal Processing Workshop. IEEE , Piscataway, NJ, p. 1. ISBN 47882597 http://resolver.caltech.edu/CaltechAUTHORS:20120517-101853843
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Summary form only given. Images often contain information at a number of different scales of resolution, so that the definition and generation of a good scale space is a key step in early vision. A scale space in which object boundaries are respected and smoothing only takes place within these boundaries has been defined that avoids the inaccuracies introduced by the usual method of low-pass-filtering the image with Gaussian kernels. The new scale space is generated by solving a nonlinear diffusion differential equation forward in time (the scale parameter). The original image is used as the initial condition, and the conduction coefficient c(x, y, t) varies in space and scale as a function of the gradient of the variable of interest (e.g. the image brightness). The algorithms are based on comparing the local values of different diffusion processes running in parallel on the same image.
|Item Type:||Book Section|
|Additional Information:||© 1989 IEEE. Date of Current Version: 06 August 2002.|
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|Official Citation:||Perona, P.; , "Anisotropic diffusion processes in early vision," Multidimensional Signal Processing Workshop, 1989., Sixth , vol., no., pp.68, 6-8 Sep 1989 doi: 10.1109/MDSP.1989.97028 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=97028&isnumber=3082|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||21 May 2012 22:33|
|Last Modified:||26 Dec 2012 15:13|
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