θ(1) Time complexity parallel local binary pattern feature extractor on a graphical processing unit

Ashwath Rao Badanidiyoor, Gopalakrishna Kini Naravi

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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 images.

Original languageEnglish
Pages (from-to)867-874
Number of pages8
JournalICIC Express Letters
Volume13
Issue number9
DOIs
Publication statusPublished - 09-2019

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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