一种新的特征点均匀化多光谱图像配准方法

doi:10.3969/j.issn.1001-2400.2013.04.009

Abstract

Abstract:

A study aiming to achieve both the speed and accuracy of feature based multi-spectral image registration process is made. Then a new homogenized feature based image registration method is proposed. The method first uses the DOH operator to detect features, and then a circular filter window is used to adaptively select features based on the spatial distribution and intensity while keeping the features' rotation invariance. The selected features are further described and matched. Experiments show that the selected features are more robust and more uniformly distributed and that the method has great advantages in both speed and accuracy.

Key words: image registration, homogenized feature, local feature, non-maximum suppression

WU Chenyang;NIU Haijun;CHI Xuyan. New homogenized-feature-based multi-spectral image registration method[J].J4, 2013, 40(4): 56-59.

References

［1］ Lowe D G. Distinctive Image Features from Scale-invariant Keypoints［DB/OL］. ［2012-07-20］. http://wenku.baidu.com/view/511199c758f5f61fb73666fe.html.
［2］ Bay H, Ess A, Tuytelaars T, et al. SURF: Speeded Up Robust Features［J］. Computer Vision and Image Understanding, 2008, 110(3): 346-359.
［3］杨贞萍, 牛海军, 丁磊. 一种新的NSCT超分辨率图像复原技术［J］. 西安电子科技大学学报, 2012, 39(1): 34-37.
Yang Zhenping, Niu Haijun, Ding Lei. New Image Super-resolution Restoration Method by NSCT［J］. Journal of Xidian University, 2012, 39(1): 34-37.
［4］ Lindeberg T. Feature Detection with Automatic Scale Selection［J］. International Journal of Computer Vision, 1998, 30(2): 79-116.
［5］倪希亮, 丁琳, 江涛, 等. 应用不变特征获取均匀控制点的遥感影像配准算法［J］. 测绘科学, 2011, 36(2): 70-72.
Ni Xiliang, Ding Lin, Jiang Tao, et al. A Remote Sensing Image Registration Algorithm by Obtaining Uniform Control Points Based on Invariant Feature［J］. Science of Surveying And Mapping, 2011, 36(2): 70-72.
［6］ Viola P, Wells W M. Alignment by Maximization of Mutual Information［DB/OL］. ［2012-07-30］. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=466930&tag=1.
［7］ Thevenaz P, Unser M. A Pyramid Approach to Sub-pixel Image Fusion Based on Mutual Information［C］//Proc of the IEEE International Conference on Image Processing ICIP'96. Lausanne: IEEE, 1996: 265-268.
［8］李琦, 姬红兵, 同鸣. 一种多模态医学影像鲁棒配准方法［J］. 西安电子科技大学学报, 2011, 38(6): 30-36.
Li Qi, Ji Hongbing, Tong Ming. Robust Registration of Multimodality Medical Images Based on the Principal Ordinal Feature and Hybrid Entropy［J］. Journal of Xidian University, 2011, 38(6): 30-36.

[1]	HUANG Zhangqin,MU Zhao,CEN Chen,GAO Han. 360-degree real-time stitching technology for multi-channel video [J]. Journal of Xidian University, 2020, 47(2): 1-8.
[2]	WANG Hongyan,ZHU Limin,ZHANG Panjie,LI Jinping. Method for the detection of the piston side defect based on external contour registration [J]. Journal of Xidian University, 2019, 46(5): 75-83.
[3]	XUE Haiwei;FENG Dazheng. Fast subpixel registration method for InSAR images [J]. Journal of Xidian University, 2016, 43(3): 172-178.
[4]	LI Jianbing;XIAO Xiao;LI Xiaoping;HOU Xiaoli. Local coordinate gradient descriptor based on cyclic division [J]. Journal of Xidian University, 2016, 43(2): 64-69.
[5]	JIN Feng;FENG Dazheng. Fast and precise image registration algorithm [J]. J4, 2015, 42(6): 88-93.
[6]	HE Wenhua;LIU Zhijing;QU Jianming. Online visual tracking method based on superpixel hybrid voting [J]. J4, 2015, 42(3): 61-66.
[7]	YU Wangsheng;HOU Zhiqiang;TIAN Xiaohua;ZHA Yufei. Non-rigid object tracking using joint matching of local features [J]. J4, 2014, 41(6): 160-166.
[8]	YANG Zhenping;NIU Haijun;DING Lei. New image super-resolution restoration method by NSCT [J]. J4, 2012, 39(1): 34-37+85.
[9]	LI Qi;JI Hongbing;TONG Ming. Robust registration of multimodality medical images based on the principal ordinal feature and hybrid entropy [J]. J4, 2011, 38(6): 30-36+145.
[10]	XU Qing1;LIAO Gui-sheng1;LIU Ying1;LIANG Jing2. 3-D baseline error estimation method for distributed small satellites [J]. J4, 2008, 35(4): 668-672.
[11]	LAI Rui(1;2);LIU Shang-qian(2);ANG Yin-tang(1);LI Yue-jin(1). A LTS-HD measure based robust registration approach to low SNR images [J]. J4, 2006, 33(6): 902-906.

New homogenized-feature-based multi-spectral image registration method

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 11

Metrics

Comments

Recommended 10