Detecting and Classifying Defects for aluminum foil by Image Processing Techniques
碩士 === 國立臺灣科技大學 === 管理研究所工業管理學程 === 87 === As the competition in the market getting intense,the guality and the price of the product play a critical role in the competitiveness of the product. Companies are therefore focusing their improvement on raising the quality of product and reducing the cost...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
1999
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| Online Access: | http://ndltd.ncl.edu.tw/handle/92923944745897138222 |
| Summary: | 碩士 === 國立臺灣科技大學 === 管理研究所工業管理學程 === 87 === As the competition in the market getting intense,the guality and the price of the product play a critical role in the competitiveness of the product. Companies are therefore focusing their improvement on raising the quality of product and reducing the cost of production.
A typical way to achieve both goals is to employ automation technology. One of the indispensible elements in the automatic production line is the automatic inspection capability. This research establishes an image-based inspection system that can be incorporated into automatic production line for detecting and classifying defects of 2D objects. With the low cost of the system and the tremendous saving on the labor,the system provides a feasible solution to improve the quality of the product. Such a system has to be able to capture the appearance of the 2D objects and convert the information into an image file for analysis. With the file,the image is preprocessed,and the features are then extracted and classified. These functions need to be designed with respect to specific domains in which the applications reside. This research considers the inspection of aluminum foil to demonstrate the feasibility and to fine-tune the implemented automatic inspection system.
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