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Front. Inform. Technol. Electron. Eng.  2010, Vol. 11 Issue (3): 199-205    DOI: 10.1631/jzus.C0910144
    
Automatic inspection of LED indicators on automobile meters based on a seeded region growing algorithm
Hong ZHOU, Hai-er XU*, Pei-qi HE, Zhi-bai SONG, Chen-ge GENG
Department of Instrument Science and Engineering, Zhejiang University, Hangzhou 310027, China
Automatic inspection of LED indicators on automobile meters based on a seeded region growing algorithm
Hong ZHOU, Hai-er XU*, Pei-qi HE, Zhi-bai SONG, Chen-ge GENG
Department of Instrument Science and Engineering, Zhejiang University, Hangzhou 310027, China
 全文: PDF(185 KB)  
摘要： Light emitting diode (LED) indicators used on automobile meters are essential for safe driving and few errors can be tolerated. The current manual inspection approach can achieve only 95% accuracy rate in weeding out errors occurring in the production process. It is imperative to improve the accuracy of the inspection process to better achieve the goal of safe driving. This paper proposes an automatic inspection method for LED indicators for use on automobile meters. Firstly, red-green-blue (RGB) color images of LED indicators are acquired and converted into R, G, and B intensity images. A seeded region growing (SRG) algorithm, which selects seeds automatically based on Otsu’s method, is then used to extract the LED indicator regions. Finally, a region matching process based on the seed and three area parameters of each region is applied to inspect the LED indicators one by one to locate any errors. Experiments on standard automobile meters showed that the inspection accuracy rate of this method was up to 99.52% and the inspection speed was faster compared with the manual method. Thus, the new method shows good prospects for practical application.
关键词： Automatic inspection;  Light emitting diode (LED) indicators;  Automobile meter;  Seeded region growing (SRG)    
Abstract: Light emitting diode (LED) indicators used on automobile meters are essential for safe driving and few errors can be tolerated. The current manual inspection approach can achieve only 95% accuracy rate in weeding out errors occurring in the production process. It is imperative to improve the accuracy of the inspection process to better achieve the goal of safe driving. This paper proposes an automatic inspection method for LED indicators for use on automobile meters. Firstly, red-green-blue (RGB) color images of LED indicators are acquired and converted into R, G, and B intensity images. A seeded region growing (SRG) algorithm, which selects seeds automatically based on Otsu’s method, is then used to extract the LED indicator regions. Finally, a region matching process based on the seed and three area parameters of each region is applied to inspect the LED indicators one by one to locate any errors. Experiments on standard automobile meters showed that the inspection accuracy rate of this method was up to 99.52% and the inspection speed was faster compared with the manual method. Thus, the new method shows good prospects for practical application.
Key words: Automatic inspection    Light emitting diode (LED) indicators    Automobile meter    Seeded region growing (SRG)
收稿日期: 2009-03-12 出版日期: 2010-03-01
CLC:  TP2  
通讯作者: Hai-er XU     E-mail: haierxu0109@gmail.com
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引用本文:

Hong ZHOU, Hai-er XU, Pei-qi HE, Zhi-bai SONG, Chen-ge GENG. Automatic inspection of LED indicators on automobile meters based on a seeded region growing algorithm. Front. Inform. Technol. Electron. Eng., 2010, 11(3): 199-205.

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http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C0910144    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2010/V11/I3/199

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