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Article Information:
Adaptive Thresholding based Image Binarization Using VHDL
S. Swaminathan, A. Srinivasan, D. Narasimhan and K. Ramasamy
Corresponding Author: S. Swaminathan
Submitted: February 27, 2017
Accepted: April 29, 2013
Published: December 25, 2013 |
Abstract:
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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.
Key words: Adaptive thereshold, binarisation, MATLAB, modelsim, VHDL, ,
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Cite this Reference:
S. Swaminathan, A. Srinivasan, D. Narasimhan and K. Ramasamy, . Adaptive Thresholding based Image Binarization Using VHDL. Research Journal of Applied Sciences, Engineering and Technology, (24): 4637-4641.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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