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    Abstract
2013 (Vol. 5, Issue: 01)
Article Information:

Detection of Wormhole in Maize based on Kernel RGB Image and Lighting Transformation Method

Jiangbo Li, Wenqian Huang and Chi Zhang
Corresponding Author:  Jiangbo Li 

Key words:  Lighting correction, machine vision, maize, quality control, wormhole area, ,
Vol. 5 , (01): 63-67
Submitted Accepted Published
September 30, 2012 November 26, 2012 January 15, 2013
Abstract:

To effectively extract wormhole areas in kernels of maize, the uneven intensity distribution that was produced by the lighting system or by part of the vision system in the image must be transformed. A methodology was developed to convert non-uniform intensity distribution on objects into a uniform intensity distribution. A basically plane image with the wormhole area having a lower gray level than this plane was obtained by using proposed algorithms. Then, the wormhole areas can be easily extracted by a global threshold value. The experimental results with a 99.0% classification rate based on 100 kernel images showed that the proposed algorithm was simple and effective.
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  Cite this Reference:
Jiangbo Li, Wenqian Huang and Chi Zhang, 2013. Detection of Wormhole in Maize based on Kernel RGB Image and Lighting Transformation Method.  Advance Journal of Food Science and Technology, 5(01): 63-67.
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ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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