An Innovative Algorithm for Solving Jigsaw Puzzles Using Geometrical and Color Features

  • M. Makridis
  • N. Papamarkos
  • C. Chamzas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3773)


The proposed technique deals with jigsaw puzzles and takes advantage of both geometrical and color features. It is considered that an image is being divided into pieces. The shape of these pieces is not predefined, yet the background’s color is. The whole method concerns a recurrent algorithm, which initially, finds the most important corner points around the contour of a piece, afterwards performs color segmentation with a Kohonen’s SOFM based technique and finally uses a comparing routine. This routine is based on the corner points found before. It compares a set of angles, the color of the image around the region of the corner points, the color of the contour and finally compares sequences of points by calculating the Euclidean distance of luminance between them. At a final stage the method decides which pieces match. If the result is not satisfying, the algorithm is being repeated with new adaptive modified parameter values as far as the corner points and the color segmentation is concerned.


Image Reconstruction Corner Point Candidate Point Contour Boundary Color Segmentation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • M. Makridis
    • 1
  • N. Papamarkos
    • 1
  • C. Chamzas
    • 1
  1. 1.Image Processing and Multimedia Laboratory, Department of Electrical & Computer EngineeringDemocritus University of ThraceXanthiGreece

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