Title :
Solving jigsaw puzzles using Hopfield neural networks
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
We show that an intelligent system can be developed to solve the jigsaw puzzles problem using neural networks. More specifically, we employ the Hopfield neural networks to perform the matching of outer contours of the puzzle pieces. Although we consider matching puzzle pieces, a similar technique can be employed to solve related practical problems
Keywords :
Hopfield neural nets; edge detection; graph theory; pattern matching; Hopfield neural networks; attributed relational graph; edge detection; jigsaw puzzle solving; outer contours; pattern matching; Competitive intelligence; Computational intelligence; Hopfield neural networks; Intelligent networks; Intelligent robots; Intelligent systems; Neural networks; Pattern matching; Pattern recognition; Virtual colonoscopy;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.830748
