Random Binary Local Patch Clustering Transforms Based Image Matching for Nonlinear Intensity Changes
Joint Authors
Ko, Hanseok
Wang, Han
Xu, Zhihuo
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-19
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper presents a new feature descriptor that is suitable for image matching under nonlinear intensity changes.
The proposed approach consists of the following three steps.
First, a binary local patch clustering transform response is employed as the transform space.
The value of the new space exhibits a high similarity after changes in intensity.
Then, a random binary pattern coding method extracts raw feature histograms from the new space.
Finally, the discrimination of the proposed feature descriptor is enhanced by using a multiple spatial support region-based binning method.
Experimental results show that the proposed method is able to provide a more robust image matching performance under nonlinear intensity changes.
American Psychological Association (APA)
Wang, Han& Xu, Zhihuo& Ko, Hanseok. 2018. Random Binary Local Patch Clustering Transforms Based Image Matching for Nonlinear Intensity Changes. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1208346
Modern Language Association (MLA)
Wang, Han…[et al.]. Random Binary Local Patch Clustering Transforms Based Image Matching for Nonlinear Intensity Changes. Mathematical Problems in Engineering No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1208346
American Medical Association (AMA)
Wang, Han& Xu, Zhihuo& Ko, Hanseok. Random Binary Local Patch Clustering Transforms Based Image Matching for Nonlinear Intensity Changes. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1208346
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208346