Image texture is important in human and machine vision. A taxonomy of image texture that classifies textures the same way humans do psychophysically can be used in many fields. This paper deals with one attribute of texture, namely orderliness. To determine what underlying factors influence humans to perceive orderliness in textures, psychophysical direct magnitude estimation ratings of the orderliness of 27 Brodatz images were collected from 44 subjects. The images: a) were either tiled, locally oriented, or granular, b) had large, medium, or small scale elements, and c) contained either high, medium, or low regularity. Multidimensional scaling revealed three underlying factors that determined the perception of texture orderliness: uniformity of element shape and distribution, element size, and element dimensionality. Some of these results contradict predictions made by earlier computational models of texture. Such models should be revised to incorporate the results of our experiment.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Factors influencing psycophysically valid taxonomies of image texture


    Beteiligte:
    Dewangan, D. (Autor:in) / Samar, V.J. (Autor:in) / Rao, R. (Autor:in) / Paul, P. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    1801478 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Factors Influencing Psycophysically Valid Taxonomies of Image Texture

    Dewangan, D. / Samar, V. J. / Rao, R. et al. | British Library Conference Proceedings | 2005



    On Taxonomies for Multi-class Image Categorization

    Binder, A. / Müller, K. R. / Kawanabe, M. | British Library Online Contents | 2012


    Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies

    McAuley, J. J. / Ramisa, A. / Caetano, T. r. | British Library Online Contents | 2013


    Pre- and post-IRAS asteroid taxonomies

    Barucci, M.A. / Fulchignoni, M. | Elsevier | 1989