Back to Search
Start Over
Solving jigsaw puzzles using image features
- Source :
-
Pattern Recognition Letters . Oct2008, Vol. 29 Issue 14, p1924-1933. 10p. - Publication Year :
- 2008
-
Abstract
- Abstract: In this article, we describe a method for automatic solving of the jigsaw puzzle problem based on using image features instead of the shape of the pieces. The image features are used for obtaining an accurate measure for edge similarity to be used in a new edge matching algorithm. The algorithm is used in a general puzzle solving method which is based on a greedy algorithm previously proved successful. We have been able to solve computer generated puzzles of 320 pieces as well as a real puzzle of 54 pieces by exclusively using image information. Additionally, we investigate a new scalable algorithm which exploits the divide and conquer paradigm to reduce the combinatorially complex problem by classifying the puzzle pieces and comparing pieces drawn from the same group. The paper includes a brief preliminary investigation of some image features used in the classification. [Copyright &y& Elsevier]
- Subjects :
- *ALGORITHMS
*JIGSAW puzzles
*RIDDLES
*PUZZLES
Subjects
Details
- Language :
- English
- ISSN :
- 01678655
- Volume :
- 29
- Issue :
- 14
- Database :
- Academic Search Index
- Journal :
- Pattern Recognition Letters
- Publication Type :
- Academic Journal
- Accession number :
- 34084900
- Full Text :
- https://doi.org/10.1016/j.patrec.2008.05.027