Another comment on “a note on distance transformation in digital images”
CVGIP: Image Understanding
Pattern Recognition Letters - Special issue on genetic algorithms
A genetic algorithm for affine invariant recognition of object shapes from broken boundaries
Pattern Recognition Letters
Partial shape matching using genetic algorithms
Pattern Recognition Letters
Geometric Primitive Extraction Using a Genetic Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters
A Genetic Algorithm for Image Segmentation
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Coarse-to-Fine Multiscale Affine Invariant Shape Matching and Classification
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
Applying Genetic Algorithms on Pattern Recognition: An Analysis and Survey
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Hi-index | 0.01 |
Past research works have demonstrated matching of fragmented contours can be effectively accomplished with the integration of genetic algorithms and migrant principle. Despite the success, the computation involved in the evaluation of the fitness function is substantial. To overcome this problem, a new formulation on the fitness evaluation targeted for graphics processing unit (GPU) has been developed and presented in this paper. Experimental results reveal that the proposed solution is capable of reducing the matching time while maintaining high success rates.