The paper is based on machine vision technology to study the detection of sheet surface defects, designs the hardware system and software processing flow of online detection, introduces processing methods such as image preprocessing, image segmentation and target extraction, and processes the defect images accordingly. Use C# software to design the human-computer interaction interface and on-line debugging and on-line detection for the online detection of sheet defects. The experimental results show that the detection method is feasible, the false detection rate is low, and it can be well applied to the online detection of wood automatic production process.
For overcoming the defects of the existing method of surface defect for the solar wafer.A automatic measurement technology by dual vision is presented. Frist the principle and flow of the automatice measurement technology are introduced. Second the technique of camera calibration, technique of center extraction of edge and technique of automatic matching are researched. At the end, using the technology realized the rapid defects detection including crack, cavern, smudge and broken so on and so forth which can be concluded that the application of this technology helps to enhance the inspection efficiency.
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