An approach to defect inspection for packing presswork with virtual orientation points and threshold template image

Xiangyang Hao; Songlin Liu; Fulai Zhao; Lixing Jiang

doi:10.1117/12.2184628

22 June 2015 An approach to defect inspection for packing presswork with virtual orientation points and threshold template image

Xiangyang Hao, Songlin Liu, Fulai Zhao, Lixing Jiang

Author Affiliations +

Proceedings Volume 9525, Optical Measurement Systems for Industrial Inspection IX; 95253B (2015) https://doi.org/10.1117/12.2184628
Event: SPIE Optical Metrology, 2015, Munich, Germany

Abstract

The packing presswork is an important factor of industrial product, especially for the luxury commodities such as cigarettes. In order to ensure the packing presswork to be qualified, the products should be inspected and unqualified one be picked out piece by piece with the vision-based inspection method, which has such advantages as no-touch inspection, high efficiency and automation. Vision-based inspection of packing presswork mainly consists of steps as image acquisition, image registration and defect inspection. The registration between inspected image and reference image is the foundation and premise of visual inspection. In order to realize rapid, reliable and accurate image registration, a registration method based on virtual orientation points is put forward. The precision of registration between inspected image and reference image can reach to sub pixels. Since defect is without fixed position, shape, size and color, three measures are taken to improve the inspection effect. Firstly, the concept of threshold template image is put forward to resolve the problem of variable threshold of intensity difference. Secondly, the color difference is calculated by comparing each pixel with the adjacent pixels of its correspondence on reference image to avoid false defect resulted from color registration error. Thirdly, the strategy of image pyramid is applied in the inspection algorithm to enhance the inspection efficiency. Experiments show that the related algorithm is effective to defect inspection and it takes 27.4 ms on average to inspect a piece of cigarette packing presswork.

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Xiangyang Hao, Songlin Liu, Fulai Zhao, and Lixing Jiang "An approach to defect inspection for packing presswork with virtual orientation points and threshold template image", Proc. SPIE 9525, Optical Measurement Systems for Industrial Inspection IX, 95253B (22 June 2015); https://doi.org/10.1117/12.2184628

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KEYWORDS

Inspection

Image registration

Defect inspection

Cameras

Image restoration

Image acquisition

Image enhancement

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