Image Stitching Method Based on Genetic Algorithm
- DOI
- 10.2991/icmmct-17.2017.87How to use a DOI?
- Keywords
- image stitching, genetic algorithm, image fusion, RAnSAC, Laplacian pyramid
- Abstract
In allusion to the inaccuracy of homography matrix using RAnSAC from image stitching based on image features,a new image stitching algorithm based on genetic algorithm was proposed.First,locate and describe the feature points of images using feature extraction algorithm,and and the coarse matching was performed based on the ratio between nearest distance and next nearest distance. Then get optimal transform model using genetic algorithm. At last, use the Laplacian transform pyramid reconstruction algorithm to reconstruct and obtain the final fused image. The experiment show that compared with common methods, the method proposed in this paper performs better in terms of accuracy of homography matrix. Subjectively, it improves the quality and effect of fusion image.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yang Xu AU - Changbo Sun PY - 2017/04 DA - 2017/04 TI - Image Stitching Method Based on Genetic Algorithm BT - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017) PB - Atlantis Press SP - 406 EP - 412 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-17.2017.87 DO - 10.2991/icmmct-17.2017.87 ID - Xu2017/04 ER -