Pattern Recognition Letters - Special issue on genetic algorithms
Partial shape matching using genetic algorithms
Pattern Recognition Letters
Geometric Primitive Extraction Using a Genetic Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic algorithms with multi-parent recombination
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
Efficient contour-based shape representation and matching
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Multiscale Fourier Descriptor for Shape-Based Image Retrieval
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Effective invariant features for shape-based image retrieval: Research Articles
Journal of the American Society for Information Science and Technology
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Pattern Recognition Letters
Scale invariant and deformation tolerant partial shape matching
Image and Vision Computing
Journal of Signal Processing Systems
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part IV
A memetic algorithm for efficient solution of 2D and 3D shape matching problems
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Hi-index | 0.02 |
Genetic algorithm has served as a viable means for object shape matching. However, the success rate of correctly matching a pair of contours is generally low and inconsistent. In this paper a novel scheme based on the integration of two techniques: the migrant principle and multi-parent orthogonal recombination, are introduced to alleviate the problem. The proposed algorithm has been evaluated with object contours that are captured under good lighting condition, as well as images that have been contaminated with noise. In both cases experimental results revealed that the proposed method exhibited superior performance over its peers in terms of stability, speed, and success rate.