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Deterministic Component of 2-D Wold Decomposition for Geometry and Texture Descriptors Discovery

  • Erika Danaé López-Espinoza
  • Leopoldo Altamirano-Robles
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4756)

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.

Keywords

2-D Wold Decomposition Homogeneous Random Fields Texture Geometry 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Erika Danaé López-Espinoza
    • 1
  • Leopoldo Altamirano-Robles
    • 1
  1. 1.National Institute of Astrophysics, Optics and Electronics, Computer Science Department, Luis Enrique Erro 1, 72840 TonantzintlaMéxico

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