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

Maria Vanrell, Jordi Vitrià, Xavier Roca

    Research output: Contribution to journalArticleResearchpeer-review

    6 Citations (Scopus)

    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.
    Original languageEnglish
    Pages (from-to)262-271
    JournalMachine Vision and Applications
    Volume9
    Issue number5-6
    DOIs
    Publication statusPublished - 1 Jan 1997

    Keywords

    • Algorithm behavior
    • Multidimensional scaling
    • Texture perception
    • Texture representation

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