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
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