计算机工程2016，Vol.42Issue(11)：233-237,5.DOI:10.3969/j.issn.1000-3428.2016.11.038
基于纹理公因子的异源图像配准方法
Different Source Image Registration Method Based on Texture Common Factor
摘要
Abstract
The difference of imaging mechanism in different source image leads to large deformation or light and other differences between two different source images in the same scene,so it is difficult to directly use Scale Invariant Feature Transform(SIFT)or Speeded Up Robust Features(SURF)for different source images registration.For this reason,a registration method based on texture common factor is proposed for different source image.According to Fourier transform,the different source image can be transformed to frequency domain,and Gabor template is used for filtering. The method uses Sobel operator to extract the texture common factor from different source image in spatial domain. Matching point is selected by a custom rule,and the matching points can be purred by Random Sample Consensus (RANSC).According to the purified matching points,the method can obtain the homography transformation parameters. Finally,after coordinate transformation and interpolation analysis,it achieves registration between different source images. Experimental results show that the method proposed in this paper has high matching accuracy and robustness compared with SIFT and SURF.关键词
图像配准/异源图像/纹理/自定义规则/随机抽样Key words
image registration/different source image/texture/custom rule/random selection分类
信息技术与安全科学引用本文复制引用
杨凯斌,唐立军,刘晓春,吴定祥,卞一杰,李正龙..基于纹理公因子的异源图像配准方法[J].计算机工程,2016,42(11):233-237,5.基金项目
湖南省教育厅科学研究项目“远程实验控制关键技术研究”（15K009）。 （）
