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URN etd-0910107-120438 Statistics This thesis had been viewed 3363 times. Download 1834 times. Author Che-Jung Hsu Author's Email Address No Public. Department Mechanical Engineering Year 2006 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 73 Title THE APPLICATION OF IMAGE DIVISION METHOD AND BPN ON AUTOMATIC OPTICAL INSPECTION OF PCBA Keyword Machine vision BNP Image division Image division BNP Machine vision Abstract The electronic industry grows vigorously now, and the pluralism of the product has already been a trend of the world. In order to pursue greater interests except expanding production, it’s more important that cost-down in enterprises. AOI (Automatic Optical Inspection) is applied in the production flow, but we don’t make sure that all of the effects could been found by current algorithms. We often need more and more sample to count and train when taking off machine. But a small amount of various products are not suitable to apply this way.
I use several items of current algorithms, for example: the coefficient correlation law, white point statistic law…etc.), and compare the images from on-line process to calculate these indicators of each algorithm for analysis the sample actually. I hope to find other different methods of mathematical calculations to improve the defect images. We both know that we could not find all defects by a single algorithm, so I use Back propagation Network for sorting out what kinds of defect it is. According to my experiment report, I’m sure I can improve the missing situation, and also have a better result in sorting out.
Advisor Committee Long-Jyi Yeh - advisor
Guang-Jer Lai - co-chair
Min-Chie Chiu - co-chair
Files Date of Defense 2007-07-19 Date of Submission 2007-09-10