DocumentCode :
2973485
Title :
Based on CCD Imaging Ball Outside the New Algorithm for Extracting Profile
Author :
Zhang Chijun ; Wangsheng, Liu ; Xie Jinsong
Author_Institution :
Changchun Univ. of Sci. & Technol., Changchun, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
529
Lastpage :
531
Abstract :
An automatic surface defect of Steel Ball detection system based on the CCD image processing technology has been designed. The system consists of automatic feeding stuff mechanism, feeding stuff expansion, defect recognition and sorted mechanism. We designed improved sabel algorithm for edge detection, and the modified medium filtering technology is used to eliminate noises, and the vector invariance method is applied to automatically divide threshold value. The system can run steadily for long time, and its results are reliable, and it overcomes disadvantages of conventional detecting methods such as high labor intensity and high misdetection rate. Measured data can be automatic acquisition, judgment, storage.
Keywords :
CCD image sensors; edge detection; image segmentation; interference suppression; steel; CCD image processing technology; CCD imaging ball; automatic acquisition; automatic feeding stuff mechanism; automatic surface defect recognition; edge detection; high labor intensity; high misdetection rate; medium filtering technology; noise elimination; sabel algorithm; steel ball detection system; threshold value; vector invariance method; Algorithm design and analysis; Charge coupled devices; Electronics industry; Image edge detection; Manganese; Steel; Binary image; Steel Ball; edge detection; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
Type :
conf
DOI :
10.1109/iCECE.2010.136
Filename :
5629546
Link To Document :
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