• DocumentCode
    1936115
  • Title

    Pitfalls in using Dual Tree Complex Wavelet Transform for texture featuring: A discussion

  • Author

    Costin, M. ; Ignat, A.

  • Author_Institution
    Inst. of Comput. Sci., Romanian Acad., Iaşi, Romania
  • fYear
    2011
  • fDate
    19-21 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Dual Tree Complex Wavelet Transforms (DTCWT) have arisen a lot of interest in the last decade. With the possibility of computing characteristics which are rotation invariable and respond well to oscillations around singularities, shift variance, aliasing and the lack of directionality, DTCWT is an interesting tool to be analyzed and employed in a lot of stages of image processing, (among them being texture featuring). Characteristics that are well observable with the human eye, have to be scaled and transformed, in order to be compared and measured under the similarity aspects. A discussion and technical remarks on these aspects are presented, to well understand them, avoiding strange pitfalls.
  • Keywords
    feature extraction; image texture; oscillations; trees (mathematics); wavelet transforms; DTCWT; directionality; dual tree complex wavelet transform; human eye; image aliasing; image processing; oscillations; shift variance; texture features; Correlation; Databases; Entropy; Rotation measurement; Wavelet transforms; Weaving; Dual Tree Complex Wavelet Transform; Wavelet Transform; texture database; texture features; texture identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on
  • Conference_Location
    Floriana
  • Print_ISBN
    978-1-4577-1403-0
  • Type

    conf

  • DOI
    10.1109/WISP.2011.6051714
  • Filename
    6051714