Wavelet Based Separable Analysis of Texture Images for Extracting Orientation of a Planar Surface

S. Das and T. Greiner (Germany)


Surface Reconstruction, texture, orientation, wavelet, spectral variations.


The objective of this paper is to analyze the spectral variations of texture spatial frequencies as a function of orientation and depth of a 3-D planar surface. Based on this relationship we attempt to derive an expression for the extraction of 3-D surface orientation using texture features alone. Using experimentation on simulated images, we illustrate the advantage of using 1-D wavelets over Fourier based analysis for this purpose.

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