Image registration model and algorithm for multi-focus images

被引:12
|
作者
Xia, Xiaohua [1 ]
Dang, Gang [1 ]
Yao, Yunshi [1 ]
Liang, Jia [1 ]
机构
[1] Changan Univ, Key Lab Rd Construct Technol & Equipment, MOE, Xian 710064, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-focus image; Image registration model; Image registration algorithm; Error analysis; FUSION; SHAPE;
D O I
10.1016/j.patrec.2016.12.005
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Accurate registration of multi-focus images is essential in the fields of image fusion and shape from focus. A new image registration model, which is based on the geometry of multi-focus imaging, is presented for multi-focus images. The model contains only one parameter to be calibrated, and the parameter has explicit physical meaning. Golden section search is utilized to calibrate the parameter in our global image registration algorithm. Experimental results show that the model and algorithm can improve registration accuracy of multi-focus images and the method is superior to the widely used method based on affine transformation. Finally, factors affecting the registration error of our method are analyzed by simulation, and suggestions are given to improve the registration accuracy in practical applications. (C) 2016 Elsevier B.V. All rights reserved.
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页码:26 / 30
页数:5
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