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2013 (Vol. 6, Issue: 24)
Article Information:

Adaptive Thresholding based Image Binarization Using VHDL

S. Swaminathan, A. Srinivasan, D. Narasimhan and K. Ramasamy
Corresponding Author:  S. Swaminathan 

Key words:  Adaptive thereshold, binarisation, MATLAB, modelsim, VHDL, ,
Vol. 6 , (24): 4637-4641
Submitted Accepted Published
February 27, 2017 April 29, 2013 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.
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  Cite this Reference:
S. Swaminathan, A. Srinivasan, D. Narasimhan and K. Ramasamy, 2013. Adaptive Thresholding based Image Binarization Using VHDL.  Research Journal of Applied Sciences, Engineering and Technology, 6(24): 4637-4641.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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