重庆理工大学学报（自然科学版）2013，Vol.27Issue(1)：76-81,6.DOI:10.3969/j.issn.1674-8425(z).2013.01.016
一种基于蚁群算法和互信息测度的图像拼接技术
An Image Mosaic Technology Based on Ant Colony Algorithm and Mutual Information Measure
林小平 1周石琳 1张官亮 2刘志波3
作者信息
- 1. 国防科学技术大学电子科学与工程学院,长沙410073
- 2. 武警乌鲁木齐指挥学院教研部,乌鲁木齐830049
- 3. 武警河北总队司令部通信站,石家庄050001
- 折叠
摘要
Abstract
Image mosaic can obtain greater vision and improve image resolution by stitching algorithm mainly. It has broad application prospects and commercial value at present. In this paper, we can get the matching area of the two images by calculating the comentropy based on the mutual information between images. Then, we used the mutual information measure function as the fitness function of ACA and found the optimal matching region by iteration. Finally, compared with stitching method based on SIFT features by using a series of mosaic experiments, the result showed that the proposed algorithm has better stitching effect and higher splicing efficiency.关键词
互信息/蚁群算法/图像拼接Key words
mutual information/ ant colony algorithm/ image mosaic分类
信息技术与安全科学引用本文复制引用
林小平,周石琳,张官亮,刘志波..一种基于蚁群算法和互信息测度的图像拼接技术[J].重庆理工大学学报（自然科学版）,2013,27(1):76-81,6.
