Fast and precise image registration algorithm

被引:0
作者
Jin, Feng [1 ,2 ]
Feng, Dazheng [2 ]
机构
[1] School of Computer Science and Technology, Xidian Univ., Xi'an
[2] National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an
来源
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2015年 / 42卷 / 06期
关键词
Center symmetric local binary pattern; Descriptor; Image registration; Point matching; Spatial order property;
D O I
10.3969/j.issn.1001-2400.2015.06.016
中图分类号
学科分类号
摘要
An image registration algorithm is proposed through the analysis of the objective function. There are two optimal solutions to the function: the biggest number of efficient point pairs and the image transformation matrix with the highest accuracy, which can be solved by two different point matching matrices. The algorithm gets the transformation matrix by the points described in the center symmetric local binary pattern (CS-LBP), and obtains the efficient points by the statistical deflection angle order (SDAO). The SDAO is a sample and accuracy descriptor that integrates the local structure and global information of images. By combining with the advantages of the two description methods, the algorithm achieves a high alignment accuracy and a small computational volume. © 2015, Science Press. All right reserved.
引用
收藏
页码:88 / 93
页数:5
相关论文
共 10 条
[1]  
Wu W., Wang M., Huang X., Et al., SIFT Feature Matching Algorithm Based on Vector Angle, Pattern Recognition and Artificial Intelligence, 26, 1, pp. 123-127, (2013)
[2]  
Tang C., Xiao J., Shao Y., Et al., An Improved SIFT Descriptor and Its Performance Analysis, Geomatics and Information Science of Wuhan University, 37, 1, pp. 11-16, (2012)
[3]  
Zhang K., Li X., Zhang J., A Robust Point-matching Algorithm for Remote Sensing Image Registration, IEEE Geoscience and Remote Sensing Letters, 11, 2, pp. 469-473, (2014)
[4]  
Wu Y., Ma W., Gong M., Et al., A Novel Point-matching Algorithm Based on Fast Sample Consensus for Image Registration, IEEE Geoscience and Remote Sensing Letters, 1, 99, pp. 1-5, (2014)
[5]  
Aguilar W., Frauel Y., Escolano F., Et al., A Robust Graph Transformation Matching for Nonrigid Registration, Image and Vision Computing, 27, 7, pp. 897-910, (2009)
[6]  
Liu Z., An J., Jing Y., A Simple And Robust Feature Point Matching Algorithm Based on Restricted Spatial Order Constraints for Aerial Image Registration, IEEE Transactions on Geoscience and Remote Sensing, 8, 4, pp. 805-841, (2011)
[7]  
Wang J., Zhou Y., Bai X., Et al., Shape Matching and Recognition Using Group-wised Points, Advances in Image and Video Technology, 7088, pp. 393-404, (2012)
[8]  
Gong M., Zhao S., Jiao L., Et al., A Novel Coarse-to-fine Scheme for Automatic Image Registration Based on Sift and Mutual Information, IEEE Transactions on Geoscience and Remote Sensing, 52, 7, pp. 4328-4338, (2014)
[9]  
Ojala T., Pietikainen M., Maenpaa T., Multiresolution Grayscale and Rotation Invariant Texture Classification with Local Binary Patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 7, pp. 971-987, (2002)
[10]  
Heikkila M., Pietikainen M., Schmid C., Description of Interest Regions with Local Binary Patterns, Pattern Recognition, 42, 3, pp. 425-436, (2009)