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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2004, Vol. 5 Issue (6): 663-667    DOI: 10.1631/jzus.2004.0663
Biotechnology & Food Science     
Machine vision inspection of rice seed based on Hough transform
CHENG Fang, YING Yi-bin
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China
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Abstract  A machine vision system was developed to inspect the quality of rice seeds. Five varieties of Jinyou402, Shanyou10, Zhongyou207, Jiayou and IIyou were evaluated. The images of both sides of rice seed with black background and white background were acquired with the image processing system for identifying external features of rice seeds. Five image sets consisting of 600 original images each were obtained. Then a digital image processing algorithm based on Hough transform was developed to inspect the rice seeds with incompletely closed glumes. The algorithm was implemented with all image sets using a Matlab 6.5 procedure. The results showed that the algorithm achieved an average accuracy of 96% for normal seeds, 92% for seeds with fine fissure and 87% for seeds with incompletely closed glumes. The algorithm was proved to be applicable to different seed varieties and insensitive to the color of the background.

Key words： Hough transform      Incompletely closed glumes      Rice seed      Machine vision     
Received: 28 October 2003     
CLC:  TP39  
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CHENG Fang
YING Yi-bin
Cite this article:

CHENG Fang, YING Yi-bin. Machine vision inspection of rice seed based on Hough transform. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2004, 5(6): 663-667.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2004.0663     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2004/V5/I6/663

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