Texture discrimination through fractal geometry

Rene Jaime-Rivas; Jose Pineda-Castillo; Juan Manuel Ibarra-Zannatha

doi:10.1117/12.243186

14 June 1996 Texture discrimination through fractal geometry

Rene Jaime-Rivas, Jose Pineda-Castillo, Juan Manuel Ibarra-Zannatha

Proceedings Volume 2755, Signal Processing, Sensor Fusion, and Target Recognition V; (1996) https://doi.org/10.1117/12.243186
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

A method is presented for modeling and identifying textured images. The method is based on the use of iterated function systems, which are utilized for representing the image, and also for getting characteristic measures for different textures. A set of this kind of functions is chosen such that each one of them keeps the relationship between a small region and a larger one, and the regions are selected so that the smaller is inside the larger, for taking the measures about self-similarity properties in that part of the image. These measures are then translated to a feature map, like in the self-organizing map methods, to analyze them.

Citation Download Citation

Rene Jaime-Rivas, Jose Pineda-Castillo, and Juan Manuel Ibarra-Zannatha "Texture discrimination through fractal geometry", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); https://doi.org/10.1117/12.243186

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