Application of nonlinear texture dynamics for image classification

Vidya B. Manian; Ramon E. Vasquez

doi:10.1117/12.548277

15 July 2004 Application of nonlinear texture dynamics for image classification

Vidya B. Manian, Ramon E. Vasquez

Proceedings Volume 5438, Visual Information Processing XIII; (2004) https://doi.org/10.1117/12.548277
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Visual processing is a psychophysical process. In this paper, it is shown that texture processing by the human visual systems shows nonlinear dynamic patterns. This is done by developing recursion equations that describe the dynamics in the perception and maps input texture patterns to output observables. The recursion variables are complex where the real and imagery parts signify the signal and noise parts of the perception process, respectively. The output of the dynamics is used to perform texture discrimination between pairs of textures. These results are compared with results from experiments with human subjects. A good correlation is obtained between the results using texture dynamics and that of experimental data. This shows that texture perceptual dynamics is an important ingredient in developing computer algorithms that preserve perceptually similarity with human visual system processing of texture. Based on this an algorithm is developed to perform classification of textures. The algorithm is applied to classify natural and synthetic textures. This algorithm shows an improvement in the classification accuracy over traditional methods.

Citation Download Citation

Vidya B. Manian and Ramon E. Vasquez "Application of nonlinear texture dynamics for image classification", Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); https://doi.org/10.1117/12.548277

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