Deterministic component of 2-D wold decomposition for geometry and texture descriptors discovery

Authors:
Erika Danaé López-Espinoza;Leopoldo Altamirano-Robles
Affiliations:
National Institute of Astrophysics, Optics and Electronics, Computer Science Department, Tonantzintla, México;National Institute of Astrophysics, Optics and Electronics, Computer Science Department, Tonantzintla, México
Venue:
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Year:
2007

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Abstract

In this paper, the deterministic component of 2-D Wold decomposition is used to obtain texture descriptors in industrial plastic quality images, and hidden geometry of tree crown in remote sensing images. The texture image is decomposed into two texture images: a non-deterministic texture and a deterministic one. In order to obtain texture descriptors, a set of discriminant texture features is selected from the deterministic component. The texture descriptors have been used to distinguish among three kinds of plastic quality. The obtained texture descriptors are compared against texture descriptors obtained from the original image. With the objective to find hidden geometry of tree crown in remote sensing images, the deterministic component of the original image is analyzed. The observed geometry is compared against the modeled geometry in the literature of marked point processes.