基于特征矢量的不同分辨率图像匹配方法
A Feature-Vector Based Multi-Resolution Image Matching Method
作者: 刘 超 * , 钱 丰 , 刘文松 :中国电子科技集团公司第二十八研究所,江苏 南京;
关键词: 分辨率; 特征矢量; 图像匹配; Resolution; Feature-Vector; Image Matching
摘要:Abstract: Aiming at the matching problem of images with different or unknown resolutions, a feature-vector based matching method for multi-resolution images was proposed. Firstly, by comparing the key-point feature-vectors of object image with reference image, a point which satisfies matching rules can be taken as the same key-point of the two images, and then they can be matched by the geometry relation of multiple key-points. By a matching test for images with different resolutions, it can be concluded that the proposed method shows better performance for images with key- points which differ from each other obviously.
文章引用: 刘 超 , 钱 丰 , 刘文松 (2017) 基于特征矢量的不同分辨率图像匹配方法。 图像与信号处理, 6, 147-159. doi: 10.12677/JISP.2017.63018
参考文献
[1] 章为川, 孔祥楠, 宋文. 图像的角点检测研究综述[J]. 电子学报, 2015, 43(11): 2315-2321.
[2] Zuniga, O.A. and Haralick, R. (1983) Corner Detection Using the Facet Model. IEEE CVPR, 18, 30-37.
[3]
Smith, S.M. and Brady, M. (1997) A New Approach to Low Level Image Processing. International Journal of Computer Vision, 23, 45-78.
https://doi.org/10.1023/A:1007963824710
[4]
Rosten, E. and Porter, R. (2010) A Machine Learning Approach to Corner Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 105-117.
https://doi.org/10.1109/TPAMI.2008.275
[5] Klanderman, G.A., Huttenlocher, D.P. and Rucklidge, W.J. (1993) Comparing Images Using the Hausdorff Distance. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15, 850-863.
[6]
Lowe, D.G. (2004) Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 60, 91-110.
https://doi.org/10.1023/B:VISI.0000029664.99615.94
[7] 陈至坤, 潘晓娣, 王福斌, 等. 基于Radon变换的图像轮廓提取方法研究[J]. 传感器与微系统, 2010, 29(2): 63-68.
[8] 马婧, 徐守时, 陈克. 基于Radon变换的图像角点角度提取算法[J]. 光电工程, 2009, 36(2): 126-131.