IOE OpenIR  > 光电技术研究所博硕士论文
Thesis Advisor任国强 ; 赵汝进
Degree Grantor中国科学院大学
Place of Conferral北京
Degree Discipline电子与通信工程
Keyword图像匹配 Surf Mser 视觉显著性 嵌入式系统





Other Abstract

In the field of computer science, image matching is a very important technology, and it has been widely used in all areas of social life production. This paper is devoted to the research of image matching. Firstly, the basic concept, background and significance of the image matching has been introduced briefly, and this paper focused on the problem of poor affine invariance of SURF (speeded up robust features)  algorithm. Then we aimed at this problem, presented a new algorithm which is based on MSER and SURF (It named MSER-SURF in this paper). Then the experiment proved had been gave for the new algorithm. And we also found that many classical image matching algorithms have the same problems that the searching range is very large and irrelevant feature points is great. So we proposed a new feature matching algorithm which is based on salient region detection. And finally, we implement those two algorithms in the embedded platform successfully. The main research contents and contributions of this paper are:

(1) The MSER region detection algorithm and SURF algorithm has been studied deeply. We deeply analysis features of SURF algorithm, found that the SURF algorithm is efficient but with poor affine invariance. And the MSER region detection algorithm is robust for affine invariance. So we combine the MSER region features with the SURF feature points cleverly. A method to transform MSER region to the point which is convenient to describe for SURF descriptor had been proposed. And then all the syncretic features had been described by using SURF descriptor. Finally, we found that the new algorithm has great advantages over the original algorithm through experiments.

(2) The frequency-tuned salient region detection algorithm and saliency detection algorithm using maximum symmetric surround had been analyzed profoundly. In order to make the matching pairs locate on the salient target as far as possible, we combined the advantages of salient region detection algorithm with SURF algorithm, and proposed a new method. The new method which is based on salient region detection algorithm preprocesse the image to obtain the salient image firstly. And we designed a method to get the regions of saliency. Lastly, we implement SURF algorithm in the regions of saliency, so the regions of saliency are the active area of the image matching algorithm. This new method can improve the specificity and accuracy.

(3) An experimental platform based on embedded linux has been established in this paper. Then we implement our new methods in this platform, and gave experimental results. 

Subject Area图象处理
Document Type学位论文
Recommended Citation
GB/T 7714
康璐. 基于视觉显著性度量的图像特征匹配技术研究[D]. 北京. 中国科学院大学,2017.
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