Parallel Implementation of Niblack’s Binarization Approach on CUDA
Department of CSE, College of Engineering Roorkee, Roorkee-247667,Uttarakhand, India
International Journal of Computer Applications 32(2):22-27, 2011
@article{singh2011parallel,
author={Brij Mohan Singh and Rahul Sharma and Ankush Mittal and Debashish Ghosh},
title={Article: Parallel Implementation of Niblack’s Binarization Approach on CUDA},
journal={International Journal of Computer Applications},
year={2011},
volume={32},
number={2},
pages={22-27},
month={October},
note={Published by Foundation of Computer Science, New York, USA}
}
Image processing and pattern recognition algorithms take more time for execution on a single core processor. Graphics Processing Unit (GPU) is more popular now-a-days due to their speed, programmability, low cost and more inbuilt execution cores in it. Most of the researchers started work to use GPUs as a processing unit with a single core computer system to speedup execution of algorithms. The main goal of this research work is to make binarization faster for recognition of a large number of degraded document images on GPU. In this paper, parallel implementation is focused on the well known Niblack
November 9, 2011 by hgpu
Your response
You must be logged in to post a comment.
