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Image Mosaic Method Based on SIFT Features of Line Segment
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper proposes a novel image mosaic method based on SIFT (Scale Invariant Feature Transform) feature of line segment, aiming to resolve incident scaling, rotation, changes in lighting condition, and so on between two images in the panoramic image mosaic process.
This method firstly uses Harris corner detection operator to detect key points.
Secondly, it constructs directed line segments, describes them with SIFT feature, and matches those directed segments to acquire rough point matching.
Finally, Ransac method is used to eliminate wrong pairs in order to accomplish image mosaic.
The results from experiment based on four pairs of images show that our method has strong robustness for resolution, lighting, rotation, and scaling.
American Psychological Association (APA)
Zhu, Jun& Ren, Mingwu. 2014. Image Mosaic Method Based on SIFT Features of Line Segment. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-508670
Modern Language Association (MLA)
Zhu, Jun& Ren, Mingwu. Image Mosaic Method Based on SIFT Features of Line Segment. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-508670
American Medical Association (AMA)
Zhu, Jun& Ren, Mingwu. Image Mosaic Method Based on SIFT Features of Line Segment. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-508670
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-508670