fan yong, chen niannian, gao lingling, et al. Digital detection system of surface defects for large aperture optical elements[J]. High Power Laser and Particle Beams, 2009, 21.
Citation:
fan yong, chen niannian, gao lingling, et al. Digital detection system of surface defects for large aperture optical elements[J]. High Power Laser and Particle Beams, 2009, 21.
fan yong, chen niannian, gao lingling, et al. Digital detection system of surface defects for large aperture optical elements[J]. High Power Laser and Particle Beams, 2009, 21.
Citation:
fan yong, chen niannian, gao lingling, et al. Digital detection system of surface defects for large aperture optical elements[J]. High Power Laser and Particle Beams, 2009, 21.
Based on the light defect images against the dark background in a scattering imaging system, a digital detection system of surface defects for large aperture optical elements has been presented. In the system, the image is segmented by a multi-area self-adaptive threshold segmentation method, then a pixel labeling method based on replacing arrays is adopted to extract defect features quickly, and at last the defects are classified through back-propagation neural networks. Experiment results show that the system can achieve real-time detection and classification.
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