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
Link To Document :
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