Review of local binary pattern operators in image feature extraction
With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image application...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2020
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6127/1/AJ%202020%20%28198%29.pdf |
| _version_ | 1825710133500444672 |
|---|---|
| author | Hamad Khaleefah, Shihab A. Mostafa, Salama Mustapha, Aida Nasrudin, Mohammad Faidzul |
| author_facet | Hamad Khaleefah, Shihab A. Mostafa, Salama Mustapha, Aida Nasrudin, Mohammad Faidzul |
| author_sort | Hamad Khaleefah, Shihab |
| collection | UTHM |
| description | With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review is to show the current trends for using, modifying and adapting LBP in the domain of image processing. |
| first_indexed | 2024-03-05T21:52:59Z |
| format | Article |
| id | uthm.eprints-6127 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:52:59Z |
| publishDate | 2020 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | uthm.eprints-61272022-01-26T08:33:17Z http://eprints.uthm.edu.my/6127/ Review of local binary pattern operators in image feature extraction Hamad Khaleefah, Shihab A. Mostafa, Salama Mustapha, Aida Nasrudin, Mohammad Faidzul TJ241-254.7 Machine construction (General) With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review is to show the current trends for using, modifying and adapting LBP in the domain of image processing. Institute of Advanced Engineering and Science 2020 Article PeerReviewed text en http://eprints.uthm.edu.my/6127/1/AJ%202020%20%28198%29.pdf Hamad Khaleefah, Shihab and A. Mostafa, Salama and Mustapha, Aida and Nasrudin, Mohammad Faidzul (2020) Review of local binary pattern operators in image feature extraction. Indonesian Journal of Electrical Engineering and Computer Science, 19 (1). pp. 23-31. ISSN 2502-4752 https://dx.doi.org/10.11591/ijeecs.v19.i1.pp23-31 |
| spellingShingle | TJ241-254.7 Machine construction (General) Hamad Khaleefah, Shihab A. Mostafa, Salama Mustapha, Aida Nasrudin, Mohammad Faidzul Review of local binary pattern operators in image feature extraction |
| title | Review of local binary pattern operators in image feature extraction |
| title_full | Review of local binary pattern operators in image feature extraction |
| title_fullStr | Review of local binary pattern operators in image feature extraction |
| title_full_unstemmed | Review of local binary pattern operators in image feature extraction |
| title_short | Review of local binary pattern operators in image feature extraction |
| title_sort | review of local binary pattern operators in image feature extraction |
| topic | TJ241-254.7 Machine construction (General) |
| url | http://eprints.uthm.edu.my/6127/1/AJ%202020%20%28198%29.pdf |
| work_keys_str_mv | AT hamadkhaleefahshihab reviewoflocalbinarypatternoperatorsinimagefeatureextraction AT amostafasalama reviewoflocalbinarypatternoperatorsinimagefeatureextraction AT mustaphaaida reviewoflocalbinarypatternoperatorsinimagefeatureextraction AT nasrudinmohammadfaidzul reviewoflocalbinarypatternoperatorsinimagefeatureextraction |