The use of image differential algorithm on multi-vision system

Yang Zhao; Xinghua Qu

doi:10.1117/12.866845

12 October 2010 The use of image differential algorithm on multi-vision system

Yang Zhao, Xinghua Qu

Proceedings Volume 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 765649 (2010) https://doi.org/10.1117/12.866845
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

Abstract

Visual image technology has been widely used in the defects detecting, classification, automatic recognition and measuring of industry production. However, it is hard to enhance the resolution and precision of image measurement. The imaging quality depends on the quality of the device, such as image sensor, image acquisition card and so on. Without increasing the device quality, a new method is presented to solve the above problems. The directional measurement technology of high-reflective metallic surface is studied through different measurement angles. With the multi-angle measurement results, the realization possibility will be analyzed. On this basis, we will find the method of measuring image information by multi-angles and the proper image processing technology. It is demonstrated by extensive experiments, compared with the single image of product, that the multiple images could be processed more flexibly and more effectively. Therefore, the system of image vision can acquire the different level of contrast, and thus, to much extent, higher level of resolution of image can easily be obtained. This method improves the performance of system in robustness and accuracy.

Citation Download Citation

Yang Zhao and Xinghua Qu "The use of image differential algorithm on multi-vision system", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 765649 (12 October 2010); https://doi.org/10.1117/12.866845

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KEYWORDS

Cameras

Image processing

Image registration

Image resolution

Radon

Visualization

Image acquisition

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