Center Symmetric Local Multilevel Pattern Based Descriptor and Its Application in Image Matching
Joint Authors
Source
International Journal of Optics
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents an effective local image region description method, called CS-LMP (Center Symmetric Local Multilevel Pattern) descriptor, and its application in image matching.
The CS-LMP operator has no exponential computations, so the CS-LMP descriptor can encode the differences of the local intensity values using multiply quantization levels without increasing the dimension of the descriptor.
Compared with the binary/ternary pattern based descriptors, the CS-LMP descriptor has better descriptive ability and computational efficiency.
Extensive image matching experimental results testified the effectiveness of the proposed CS-LMP descriptor compared with other existing state-of-the-art descriptors.
American Psychological Association (APA)
Zeng, Hui& Wang, Xiuqing& Gu, Yu. 2016. Center Symmetric Local Multilevel Pattern Based Descriptor and Its Application in Image Matching. International Journal of Optics،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1106362
Modern Language Association (MLA)
Zeng, Hui…[et al.]. Center Symmetric Local Multilevel Pattern Based Descriptor and Its Application in Image Matching. International Journal of Optics No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1106362
American Medical Association (AMA)
Zeng, Hui& Wang, Xiuqing& Gu, Yu. Center Symmetric Local Multilevel Pattern Based Descriptor and Its Application in Image Matching. International Journal of Optics. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1106362
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1106362