An image matching method based on the analysis of grey correlation degree and feature points

Multimedia information processing is a new technology developing rapidly recent years, among which the Image Matching Technology has wide range of applications in various fields, such as face recognition and building recognition, image database retrieval, etc. This paper focus on the accuracy of image matching using SIFT (Scale Invariant Feature Transform) algorithm to extract feature points from images. And then the feature points are used to find out the matching points between two images by calculating the correlation degree based on the Analysis of Grey Correlation Degree. Compared with the original algorithm, in the case that the matching time is almost the same, the algorithm in this paper has higher matching accuracy and robustness, proved by experiments, can adapt to the requirements of image recognition in various conditions and can eliminate the influence of stretching, rotation and illumination change.