• DocumentCode
    1570997
  • Title

    A New Technique for Solving a Jigsaw Puzzle

  • Author

    Makridis, Michail ; Papamarkos, Nikolaos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece
  • fYear
    2006
  • Firstpage
    2001
  • Lastpage
    2004
  • Abstract
    A new technique for solving jigsaw puzzles is proposed, which takes advantage of both geometrical and color features. It is considered that an image is being divided into a number of pieces (sub-images). The proposed technique is based on extraction of a set of boundary characteristic points and on a Kohonen self-organized feature map (KSOFM) color reduction technique. For each characteristic point a set of color and geometrical features are extracted. The technique compares these sets of features and decides whether two sub-images match or not. When a matching pair has been found, a corrective procedure is applied in order for these sub-images to fit exactly. Next, the proposed technique creates a new sub-image, which consists of the two matched sub-images. The whole matching procedure is being repeated until only one sub-image remains or no more matching sub-images can be found.
  • Keywords
    feature extraction; image colour analysis; image matching; self-organising feature maps; KSOFM; Kohonen self-organized feature map; color feature; geometrical feature extraction; jigsaw puzzles; subimage matching; Color; Feature extraction; Image analysis; Image matching; Image processing; Image reconstruction; Image restoration; Laboratories; Proteins; Shape; Image boundary analysis; Image matching; Image restoration; Image shape analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.312891
  • Filename
    4106951