• DocumentCode
    507671
  • Title

    Image Matching Algorithm Based on Edge Color Used in Automatic Computer Jigsaw Puzzle

  • Author

    Zhi, Lingling ; Ge, Qingping ; Ji, Zhaozhong

  • Author_Institution
    Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    269
  • Lastpage
    272
  • Abstract
    Automatic computer jigsaw puzzle is the process of automatically matching the pieces of a jigsaw puzzle, using shape, color, and texture information. For color matching, global histogram does not contain spatial distribution of color information, so different images may have the same histogram. To solve the problem, an algorithm combining the edge and color feature is introduced. Firstly, the extraction method of edge features is given, then select an appropriate regional around the edge point to calculate the histogram. It uses histogram intersection algorithm to match the pieces. Experiments show that the algorithm can match the puzzle pieces effectively. And it can conclude that combining the edge and color feature properly can improve the match performance effectively.
  • Keywords
    feature extraction; image colour analysis; image matching; image texture; automatic computer jigsaw puzzle; color information; color matching; edge color; edge feature extraction; global histogram; image matching algorithm; shape information; texture information; Color; Data mining; Histograms; Image edge detection; Image matching; Image retrieval; Intelligent robots; Machine vision; Shape; Smart pixels; Automatic Computer Jigsaw Puzzle; Color Histogram; Edge extraction; Histogram Intersection Method; Image Match;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.149
  • Filename
    5362343