• DocumentCode
    56380
  • Title

    Local Topographic Shape Patterns for Texture Description

  • Author

    Chu He ; Tong Zhuo ; Xin Su ; Feng Tu ; Dong Chen

  • Author_Institution
    Electron. Inf. Sch., Wuhan Univ., Wuhan, China
  • Volume
    22
  • Issue
    7
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    871
  • Lastpage
    875
  • Abstract
    This letter introduces a new image descriptor named Local Topographic Shape Pattern (LTSP) for texture description by relying on complete shape-based image representation. Firstly, a texture image is decomposed into a tree of shapes, i.e., topographic map, to obtain a multi-scale and contrast-invariant representation. Secondly, the shape of each node in the tree is handled with four shape patterns which are proposed as spatial codes of the shape. Finally, statistical histograms of shape patterns are used as texture descriptors. Contrast experiments of the proposed method show satisfactory performance in terms of both texture retrieval and classification tasks when applied to the Brodatz and UMD texture datasets.
  • Keywords
    image classification; image coding; image representation; image retrieval; image texture; statistical analysis; trees (mathematics); Brodatz texture dataset; LTSP; UMD texture dataset; complete shape-based image representation; contrast-invariant representation; local topographic shape patterns; multiscale representation; shape patterns; spatial codes; statistical histograms; texture classification task; texture description; texture retrieval task; Educational institutions; Electronic mail; Histograms; Image representation; Indexing; Materials; Shape; Local topographic map; shape pattern; texture description;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2374608
  • Filename
    6966719