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A multidimensional scaling approach to explore the behavior of a texture perception algorithm

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Abstract.

This paper presents a methodology for behavior characterization of an algorithm in terms of the parametric description of input images. To develop the work we have selected an algorithm which implements a model of texture perception and provides a texture representation. The approach is based on the definition of an input parametric texture space, where parameters are related to texton attributes. Multidimensional scaling provides a dimensional reduction of space of representation. It allows interpretation of the behavior of the algorithm in a low-dimensional space where points represent textures and distances represent dissimilarities between textures, preserving the metric of the algorithm representation in a monotonic sense. The resulting behavior space establishes the basis to construct a quantitative causal model of an algorithm.

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Vanrell, M., Vitrià, J. & Roca, X. A multidimensional scaling approach to explore the behavior of a texture perception algorithm . Machine Vision and Applications 9, 262–271 (1997). https://doi.org/10.1007/s001380050047

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  • DOI: https://doi.org/10.1007/s001380050047

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