• DocumentCode
    2489526
  • Title

    Describing texture directions with Von Mises distributions

  • Author

    Grana, Costantino ; Borghesani, Daniele ; Cucchiara, Rita

  • Author_Institution
    Dipt. di Ing. dell Inf., Universitd degli Studi di Modena e Reggio Emilia, Italy
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this work we describe a new approach for texture characterization. Starting from the autocorrelation matrix an elegant description through a mixture of Von Mises distributions is proposed. A compact 6 valued descriptor is produced for each block and served as input to an SVM classifier. Tests are carried out on high resolution illuminated manuscripts images.
  • Keywords
    correlation methods; document image processing; image texture; support vector machines; SVM classifier; Von Mises distributions; autocorrelation matrix; document image processing; manuscripts images; support vector machines; texture characterization; Autocorrelation; Histograms; Image analysis; Image resolution; Image segmentation; Image texture analysis; Support vector machine classification; Support vector machines; Testing; US Department of Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-2174-9
  • Electronic_ISBN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2008.4761821
  • Filename
    4761821
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2489526