Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation
The Completed Local Ternary Pattern descriptor (CLTP) was proposed to overcome the drawbacks of the Local Binary Pattern (LBP). It used for rotation invariant texture classification and demonstrated superior classification accuracy with different types of texture datasets. In this paper, the perform...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2015
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/11453/7/Performance%20Evaluation%20of%20Completed%20Local%20Ternary%20Patterns%20cltp1.pdf |
| _version_ | 1796990987857297408 |
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| author | Rassem, Taha H. Mohammed, Mohammed Falah Khoo, Bee Ee Makbol, Nasrin M. |
| author_facet | Rassem, Taha H. Mohammed, Mohammed Falah Khoo, Bee Ee Makbol, Nasrin M. |
| author_sort | Rassem, Taha H. |
| collection | UMP |
| description | The Completed Local Ternary Pattern descriptor (CLTP) was proposed to overcome the drawbacks of the Local Binary Pattern (LBP). It used for rotation invariant texture classification and demonstrated superior classification accuracy with different types of texture datasets. In this paper, the performance of CLTP for image categorisation is studied and investigated. Different image datasets are used in the experiments such as the Oliva and Torralba datasets (OT8), Event sport datasets, and 2D HeLa medical images. The experimental results proved the superiority of the CLTP descriptor over the original LBP, and different new texture descriptors such as Completed Local Binary Pattern (CLBP) in the image categorisation task. In 2D HeLa medical images, the proposed CLTP achieved the highest state of the art classification rate reaching 95.62% |
| first_indexed | 2024-03-06T11:59:39Z |
| format | Conference or Workshop Item |
| id | UMPir11453 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:59:39Z |
| publishDate | 2015 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir114532019-07-08T03:54:20Z http://umpir.ump.edu.my/id/eprint/11453/ Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation Rassem, Taha H. Mohammed, Mohammed Falah Khoo, Bee Ee Makbol, Nasrin M. QA75 Electronic computers. Computer science QA76 Computer software The Completed Local Ternary Pattern descriptor (CLTP) was proposed to overcome the drawbacks of the Local Binary Pattern (LBP). It used for rotation invariant texture classification and demonstrated superior classification accuracy with different types of texture datasets. In this paper, the performance of CLTP for image categorisation is studied and investigated. Different image datasets are used in the experiments such as the Oliva and Torralba datasets (OT8), Event sport datasets, and 2D HeLa medical images. The experimental results proved the superiority of the CLTP descriptor over the original LBP, and different new texture descriptors such as Completed Local Binary Pattern (CLBP) in the image categorisation task. In 2D HeLa medical images, the proposed CLTP achieved the highest state of the art classification rate reaching 95.62% IEEE 2015-08-19 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/11453/7/Performance%20Evaluation%20of%20Completed%20Local%20Ternary%20Patterns%20cltp1.pdf Rassem, Taha H. and Mohammed, Mohammed Falah and Khoo, Bee Ee and Makbol, Nasrin M. (2015) Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation. In: 4th International Conference on Software Engineering and Computer Systems (ICSECS 2015) , 19-21 August 2015 , Kuantan, Pahang. pp. 33-38.. ISBN 978-1-4673-6722-6 http://dx.doi.org/10.1109/ICSECS.2015.7333119 doi:10.1109/ICSECS.2015.7333119 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Rassem, Taha H. Mohammed, Mohammed Falah Khoo, Bee Ee Makbol, Nasrin M. Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation |
| title | Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation |
| title_full | Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation |
| title_fullStr | Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation |
| title_full_unstemmed | Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation |
| title_short | Performance Evaluation of Completed Local Ternary Patterns (CLTP) for Medical, Scene and Event Image Categorisation |
| title_sort | performance evaluation of completed local ternary patterns cltp for medical scene and event image categorisation |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/11453/7/Performance%20Evaluation%20of%20Completed%20Local%20Ternary%20Patterns%20cltp1.pdf |
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