@inproceedings{6462a256f99f4a5e893d2df6ddb92955,
title = "Combining SIFT and individual entropy correlation coefficient for image registration",
abstract = "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.",
keywords = "image registration, individual entropy correlation coefficient, scale invariant feature transform",
author = "Gan Liu and Shengyong Chen and Xiaolong Zhou and Xiaoyan Wang and Qiu Guan and Hui Yu",
year = "2014",
month = nov,
doi = "10.1007/978-3-662-45643-9_14",
language = "English",
volume = "484",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "128--137",
editor = "Shutao Li and Chenglin Liu and Yaonan Wang",
booktitle = "Pattern Recognition - 6th Chinese Conference, CCPR 2014, Proceedings, Part II",
address = "Germany",
note = "6th Chinese Conference on Pattern Recognition, CCPR 2014 ; Conference date: 17-11-2014 Through 19-11-2014",
}