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Proceedings Paper

Texture Classification Using The Hough Transform
Author(s): G. Eichmann; T. Kasparis
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Paper Abstract

Texture is one of the important image characteristics and is used to identify objects or regions of interest. The problem of texture classification has been widely studied. Some texture classification approaches use Fourier power-spectrum features, while others are based on first and second-order statistics of gray level differences. Periodic textures that consist of mostly straight lines are of particular interest. In this paper, a new approach based on the Hough method of line detection is introduced. This classification is based on the relative orientation and location of the lines within the texture. Experimental results will also be presented.

Paper Details

Date Published: 15 October 1986
PDF: 9 pages
Proc. SPIE 0638, Hybrid Image Processing, (15 October 1986); doi: 10.1117/12.964263
Show Author Affiliations
G. Eichmann, City College of the City University of New York (United States)
T. Kasparis, City College of the City University of New York (United States)

Published in SPIE Proceedings Vol. 0638:
Hybrid Image Processing
David P. Casasent; Andrew G. Tescher, Editor(s)

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