TY - JOUR
T1 - θ(1) Time complexity parallel local binary pattern feature extractor on a graphical processing unit
AU - Badanidiyoor, Ashwath Rao
AU - Naravi, Gopalakrishna Kini
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
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U2 - 10.24507/icicel.13.09.867
DO - 10.24507/icicel.13.09.867
M3 - Article
AN - SCOPUS:85083897423
SN - 1881-803X
VL - 13
SP - 867
EP - 874
JO - ICIC Express Letters
JF - ICIC Express Letters
IS - 9
ER -