Texture Classification Using The Hough Transform

G. Eichmann; T. Kasparis

doi:10.1117/12.964263

15 October 1986 Texture Classification Using The Hough Transform

G. Eichmann, T. Kasparis

Proceedings Volume 0638, Hybrid Image Processing; (1986) https://doi.org/10.1117/12.964263
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States

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.

Citation Download Citation

G. Eichmann and T. Kasparis "Texture Classification Using The Hough Transform", Proc. SPIE 0638, Hybrid Image Processing, (15 October 1986); https://doi.org/10.1117/12.964263

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