Title :
A modified self-correction subpixel registration algorithm for passive millimeter wave images
Author :
Huan Wang ; Liangchao Li ; Jianyu Yang
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
For multi-frame image super-resolution, an accurate subpixel registration algorithm is necessary. In this paper, a modified self-correction registration algorithm for passive millimeter wave images is proposed for accurate robust registration. This algorithm uses the feature region to realize registration other than the whole image for computationally efficient. After obtained the feature points by Harris corner detector, the normalized cross-correlation feature matching is done for feature region pairs extraction. Then, the least-squares method and the extension of phase correlation algorithm are employed to accomplish the pixel and subpixel registration of regions respectively. At last, the spatial cluster is introduced for self-correction to ensure the robustness and accuracy. Simulation results show that the algorithm has good robustness and the accuracy has reached to 0.01 pixels.
Keywords :
feature extraction; image registration; image resolution; least squares approximations; millimetre wave imaging; Harris corner detector; cross-correlation feature matching; feature region pairs extraction; least-squares method; multiframe image super-resolution; passive millimeter wave images; phase correlation algorithm; self-correction subpixel registration algorithm; spatial cluster; Accuracy; Algorithm design and analysis; Clustering algorithms; Correlation; Feature extraction; Millimeter wave technology; Robustness; cluster; extension of phase correlation; passive millimeter wave image; registration;
Conference_Titel :
Computational Problem-solving (ICCP), 2013 International Conference on
Conference_Location :
Jiuzhai
DOI :
10.1109/ICCPS.2013.6893518