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Compact Local Directional Texture Pattern for Local Image Description
Joint Authors
Zeng, Hui
Zhang, Rui
Huang, Mingming
Wang, Xiuqing
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents an effective local image feature region descriptor, called CLDTP descriptor (Compact Local Directional Texture Pattern), and its application in image matching and object recognition.
The CLDTP descriptor encodes the directional and contrast information in a local region, so it contains the gradient orientation information and the gradient magnitude information.
As the dimension of the CLDTP histogram is much lower than the dimension of the LDTP histogram, the CLDTP descriptor has higher computational efficiency and it is suitable for image matching.
Extensive experiments have validated the effectiveness of the designed CLDTP descriptor.
American Psychological Association (APA)
Zeng, Hui& Zhang, Rui& Huang, Mingming& Wang, Xiuqing. 2015. Compact Local Directional Texture Pattern for Local Image Description. Advances in Multimedia،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1052633
Modern Language Association (MLA)
Zeng, Hui…[et al.]. Compact Local Directional Texture Pattern for Local Image Description. Advances in Multimedia No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1052633
American Medical Association (AMA)
Zeng, Hui& Zhang, Rui& Huang, Mingming& Wang, Xiuqing. Compact Local Directional Texture Pattern for Local Image Description. Advances in Multimedia. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1052633
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1052633