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Review of local binary pattern operators in image feature extraction

Authors :
Hamad Khaleefah, Shihab
A. Mostafa, Salama
Mustapha, Aida
Nasrudin, Mohammad Faidzul
Hamad Khaleefah, Shihab
A. Mostafa, Salama
Mustapha, Aida
Nasrudin, Mohammad Faidzul
Publication Year :
2020

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.

Details

Database :
OAIster
Notes :
text, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1296960236
Document Type :
Electronic Resource