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A Novel Frequency Domain Iterative Image Registration Algorithm Based on Local Region Extraction
Joint Authors
Qu, Xiujie
Lian, Sitong
Zhao, Fei
Huo, Haili
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Because of the differences of imaging time, position between sensor and target position, scaling, rotation, translation, and other transformations between the series of images will be generated by the imaging system.
The conventional phase correlation algorithm has been widely applied because of its advantages of high speed, precision, and weak influence of the geometric distortion when computing these changing parameters.
However, when the scaling factor and the rotation angle are too large, it is difficult to use the conventional phase correlation method for high precision registration.
To solve this problem, this paper presents a novel method, which combines the speeded up robust features algorithm and the phase correlation method under the log polar.
Through local region extraction and reusing a two-step iterative phase correlation algorithm, this method avoids excessive computation and the demand of characteristics of the image and effectively improves the accuracy of registration.
A plurality of visible light image simulation verifies that this is a fast, accurate, and robust algorithm, even when the image has large angle rotation and large multiple scaling.
American Psychological Association (APA)
Qu, Xiujie& Huo, Haili& Lian, Sitong& Zhao, Fei. 2015. A Novel Frequency Domain Iterative Image Registration Algorithm Based on Local Region Extraction. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073247
Modern Language Association (MLA)
Qu, Xiujie…[et al.]. A Novel Frequency Domain Iterative Image Registration Algorithm Based on Local Region Extraction. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1073247
American Medical Association (AMA)
Qu, Xiujie& Huo, Haili& Lian, Sitong& Zhao, Fei. A Novel Frequency Domain Iterative Image Registration Algorithm Based on Local Region Extraction. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073247
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073247