Research Article | OPEN ACCESS
Adaptive Thresholding based Image Binarization Using VHDL
1S. Swaminathan, 1A. Srinivasan, 2D. Narasimhan and 1K. Ramasamy
1Department of ECE
2Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA University, Kumbakonam, India
Research Journal of Applied Sciences, Engineering and Technology 2013 24:4637-4641
Received: February 27, 2017 | Accepted: April 29, 2013 | Published: December 25, 2013
Abstract
The aim of this study is to recognize the given image with the existing image based on the technique of image binarization by MATLAB tool and it is simulated using VHDL (Very High Speed IC Hardware Descriptive Language) using MODELSIM tool. This image binarization is based on LEGION (Locally Excitatory Globally inhibitory Oscillatory Network) Concept. In this study the algorithm finds an optimum threshold technique, the other by separating the image background and foreground pixels. This algorithm has superior performance in separating the images from background in comparison with the other threshold techniques.
Keywords:
Adaptive thereshold, binarisation, MATLAB, modelsim, VHDL,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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