中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Registration algorithm based on nonsubsampled contour transform and morphological shrink operator for multi-source images

文献类型:EI期刊论文

作者Wang Ruirui ; Ma Jianwen ; Shi Wei ; Huang Huaguo
发表日期2012
关键词Algorithms Feature extraction Frequency bands Image fusion Image reconstruction Image registration Mathematical transformations Object recognition Remote sensing
英文摘要It is difficult to extract the corresponding features from the multi-source images in automatic registration between them. Aiming to this problem, a new registration method based on the nonsubsampled contourlet transform (NSCT) and morphological shrink operator (MSO) was proposed. The feature extraction method based on NSCT_MSO can reduce the differences in angle and scale, and extract key structural feature points in multi-scale and multi-directional space. The feature matching method based on normalized mutual information computed from the low frequency band and the triangular consistency inspect method can extract a considerable number of corresponding feature points with even distribution, which ensure a high accuracy for the registration between multi-source images. The performance of the proposed algorithm was demonstrated and validated by experiments on SPOT-5(P) and ASTER images with considerable differences in angle and scale. The experimental results indicate that many corresponding feature points with even distribution can be obtained with the new algorithm and the accuracy of registration model is close to 1 pixel. The research can provide a basis for image fusion and object recognition.
出处Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
28期:19页:110-118
收录类别EI
语种英语
源URL[http://ir.igsnrr.ac.cn/handle/311030/31202]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Wang Ruirui,Ma Jianwen,Shi Wei,et al. Registration algorithm based on nonsubsampled contour transform and morphological shrink operator for multi-source images. 2012.

入库方式: OAI收割

来源:地理科学与资源研究所

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