Gabor Feature Space Diffusion via the Minimal Weighted Area Method

Gabor feature space is elaborated for representation, processing and segmentation of textured images. As a first step of preprocessing of images represented in this space, we introduce an algorithm for Gabor feature space denoising. It is a geometric-based algorithm that applies diffusion-like equat...

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Bibliographische Detailangaben

Hauptverfasser:	Sagiv, Chen, Sochen, Nir A., Zeevi, Yehoshua Y.
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Anisotropic diffusion Applied sciences Artificial intelligence Beltrami framework Computer science control theory systems Exact sciences and technology Gabor analysis Geodesic active contours Geometric-based algorithms image manifolds minimal weighted area method Pattern recognition. Digital image processing. Computational geometry
Online-Zugang:	Volltext
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