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Completed Local Ternary Pattern for Rotation Invariant Texture Classification
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-07
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Despite the fact that the two texture descriptors, the completed modeling of Local Binary Pattern (CLBP) and the Completed Local Binary Count (CLBC), have achieved a remarkable accuracy for invariant rotation texture classification, they inherit some Local Binary Pattern (LBP) drawbacks.
The LBP is sensitive to noise, and different patterns of LBP may be classified into the same class that reduces its discriminating property.
Although, the Local Ternary Pattern (LTP) is proposed to be more robust to noise than LBP, however, the latter’s weakness may appear with the LTP as well as with LBP.
In this paper, a novel completed modeling of the Local Ternary Pattern (LTP) operator is proposed to overcome both LBP drawbacks, and an associated completed Local Ternary Pattern (CLTP) scheme is developed for rotation invariant texture classification.
The experimental results using four different texture databases show that the proposed CLTP achieved an impressive classification accuracy as compared to the CLBP and CLBC descriptors.
American Psychological Association (APA)
Rassem, Taha H.& Khoo, Bee Ee. 2014. Completed Local Ternary Pattern for Rotation Invariant Texture Classification. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1049371
Modern Language Association (MLA)
Rassem, Taha H.& Khoo, Bee Ee. Completed Local Ternary Pattern for Rotation Invariant Texture Classification. The Scientific World Journal No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1049371
American Medical Association (AMA)
Rassem, Taha H.& Khoo, Bee Ee. Completed Local Ternary Pattern for Rotation Invariant Texture Classification. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1049371
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049371