Review of local binary pattern operators in image feature extraction

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

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Feature extraction; Image processing; Local binary pattern; Texture descriptors
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ241-254.7 Machine construction (General)
Divisions:	Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User:	Miss Afiqah Faiqah Mohd Hafiz
Date Deposited:	26 Jan 2022 08:33
Last Modified:	26 Jan 2022 08:33
URI:	http://eprints.uthm.edu.my/id/eprint/6127

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