Θ(1) time complexity parallel local binary pattern feature extractor on a graphical processing unit

Rao, Ashwath B and Kini, Gopalakrishna N (2019) Θ(1) time complexity parallel local binary pattern feature extractor on a graphical processing unit. ICIC Express Letters, 13 (9). pp. 867-874. ISSN 1881-803X

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Abstract

Local Binary Pattern (LBP) feature is used widely as a texture feature in object recognition, face recognition, real-time recognitions, etc. in an image. LBP feature extraction time is crucial in many real-time applications. To accelerate feature extrac�tion time, in many previous works researchers have used CPU-GPU combination. In this work, we provide a θ(1) time complexity implementation for determining the Local Binary Pattern (LBP) features of an image. This is possible by employing the full capa�bility of a GPU. The implementation is tested on LISS medical imag

Item Type: Article
Uncontrolled Keywords: Local binary pattern, Medical image processing, Parallel algorithms, Graph�ical processing unit, CUDA
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 24 Mar 2021 06:38
Last Modified: 24 Mar 2021 06:38
URI: http://eprints.manipal.edu/id/eprint/156567

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