Combining SIFT and Individual Entropy Correlation Coefficient for Image Registration

摘要：

　　Image registration is an important topic in many fields including industrial image analysis systems,medical and remote sensing.To improve the registration accuracy,an image registration method that combines scale invariant feature transform and individual entropy correlation coefficient (SIFTIECC) is proposed in this paper.First,scale invariant feature transform algorithm is applied to extract feature points to construct a transformation model.Then,a rough registration image is obtained according to the transformation model.The individual entropy correlation coefficient is used as the similarity measure to refine the rough registration image.Finally,the experimental results show the superior performance of the proposed SIFT-IECC registration method by comparing with the state-of-the-art methods.

关键词： Image registration Scale invariant feature transform Individual entropy correlation coefficient

作者: Gan Liu Shengyong Chen Xiaolong Zhou Xiaoyan Wang Qiu Guan Hui Yu

作者单位: College of Computer Science and Technology Zhejiang University of Technology,Hangzhou,Zhejiang Provi School of Computing,University of Portsmouth,Portsmouth,England

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 128-137

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）