计算机工程与科学2012，Vol.34Issue(11)：104-108,5.DOI:10.3969/j.issn.1007-130X.2012.11.018
基于Harris与SIFT算法的自动图像拼接
The Automatic Image Mosaic Based on Harris and SIFT Algorithms
李欢欢 1黄山 1张洪斌1
作者信息
- 1. 四川大学电气信息学院自动化系,四川成都610065
- 折叠
摘要
Abstract
Image mosaic technology is widely used in many lields such as remote sensing image processing, computer recognition, medical image analysis and artificial intelligence, etc. Considering the shortcomings of scale-invariant feature transform (SIFT) algorithms, i. e. the complexity and time-consuming of the feature extraction actions, and the Harris algorithm can fast extract the features in the image, this paper presents an algorithm combining the advantages of the Harris and the SIFT and uses the algorithm in automatic image stitching, we firstly use the Harris algorithm to improve image feature extraction, secondly use the SIFT algorithm to describe the feature points, thirdly use the Euclidean distance to match the obtained feature vectors, and finally implement the automatic image stitching. Experimental results show that the method can effectively improve the efficiency of matching in the SIFT algorithm, and better do automatic image stitching.关键词
Harris/SIFT/图像匹配/图像拼接Key words
Harris/ SIFT/ image match/image mosaic分类
信息技术与安全科学引用本文复制引用
李欢欢,黄山,张洪斌..基于Harris与SIFT算法的自动图像拼接[J].计算机工程与科学,2012,34(11):104-108,5.
