Applying Computer Vision And Neural Network for BGA Inspection System
碩士 === 國立交通大學 === 電機與控制工程系 === 90 === This paper applies computer vision and the improved Self-Organizing Map (SOM) network techniques to perform BGA measurement and defect inspection. The basic structure of the investigated system is, mainly, to automatically measure or inspect, one by o...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/66380653535117139624 |