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In this study, an image processing scheme composed of segmentation procedures based on anisotropic diffusion and shape classification is presented.
Filtering based on anisotropic diffusion (AD) was introduced by Perona and Malik [6] who had constituted a powerful tool for signal and image enhancement.
Most previous Gaussian noise filters are based on anisotropic diffusion [4] or bilateral filter [3, 14, 15], both of which have similar mathematical models [16].
Interpretation follows the minimization of a functional with two terms: a term of conformity of the 3D interpretation to the image sequence first-order spatio-temporal variations, and a term of regularization based on anisotropic diffusion to preserve the boundaries of interpretation.
Image segmentation is based on anisotropic diffusion algorithms for image processing [ 8] in combination with edge preserving regularization and edge detection techniques [ 9, 10].
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The sign of D = 1 - (1/||∇Φ||), where D x) = x-1 ∂P x)/∂x indicates the property of the diffusion term based on anisotropic regularization in the following two cases[25]: 1.
Moreover, we propose a novel outlier removal algorithm based on anisotropic kernel density estimation.
The last tuning technique presented in this work is based on anisotropic stress.
a The schematic diagram using the horizontal and vertical conductive wires based on anisotropic wrinkle gratings.
A micro-crack detection scheme for a solar wafer based on an anisotropic diffusion filter has also been documented [10].
First of all we verify the validity of our feature vector: the moment of the color and the edge energy based on the anisotropic diffusion.
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