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Abstract processes in texture discrimination

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image of Spatial Vision
For more content, see Multisensory Research and Seeing and Perceiving.

In this study some experiments on texture segmentation are reported using the local Gabor power spectrum. The techniques applied are: (1) supervised pixel classification; (2) boundary detection by spectral dissimilarity estimation; (3) region-based segmentation based on Gaussian spectral estimation; and (4) the same as (3) but based on central moments of the local spectrum. It is shown that very-acceptable-to-excellent results can be obtained. It is argued, however, that the shortcomings of region-based and boundary-based approaches require that both processes should act in parallel, not only in digital image processing but also in the modelling of visual perception.

Affiliations: 1: Signal Processing Laboratory, Swiss Federal Institute of Technology, EPFL-Ecublens, CH-1015 Lausanne, Switzerland


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