Parallel-Sequential Texture Analysis

Egon van den Broek, Sameer Singh (Editor), Maneesha Singh (Editor), Eva M. van Rikxoort, Chid Apte (Editor), Petra Perner (Editor)

    Research output: Contribution to conferencePaper

    5 Citations (Scopus)
    15 Downloads (Pure)

    Abstract

    Color induced texture analysis is explored, using two texture analysis techniques: the co-occurrence matrix and the color correlogram as well as color histograms. Several quantization schemes for six color spaces and the human-based 11 color quantization scheme have been applied. The VisTex texture database was used as test bed. A new color induced texture analysis approach is introduced: the parallel-sequential approach; i.e., the color correlogram combined with the color histogram. This new approach was found to be highly successful (up to 96% correct classification). Moreover, the 11 color quantization scheme performed excellent (94% correct classification) and should, therefore, be incorporated for real-time image analysis. In general, the results emphasize the importance of the use of color for texture analysis and of color as global image feature. Moreover, it illustrates the complementary character of both features.
    Original languageUndefined
    Pages532-541
    Number of pages10
    DOIs
    Publication statusPublished - 22 Aug 2005

    Keywords

    • correlogram
    • Color
    • HMI-MR: MULTIMEDIA RETRIEVAL
    • Texture
    • HMI-VRG: Virtual Reality and Graphics
    • EWI-20950
    • Pattern Recognition
    • co-occurrence matrix
    • IR-78922
    • VisTex
    • parallel-sequential

    Cite this

    van den Broek, E., Singh, S. (Ed.), Singh, M. (Ed.), van Rikxoort, E. M., Apte, C. (Ed.), & Perner, P. (Ed.) (2005). Parallel-Sequential Texture Analysis. 532-541. https://doi.org/10.1007/11552499_59