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Detection of surface defects and subsurface defects of polished optics with multisensor image fusion 被引量:6
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作者 Huanyu Sun shiling wang +7 位作者 Xiaobo Hu Hongjie Liu Xiaoyan Zhou Jin Huang Xinglei Cheng Feng Sun Yubo Liu Dong Liu 《PhotoniX》 SCIE EI 2022年第1期398-411,共14页
Surface defects(SDs)and subsurface defects(SSDs)are the key factors decreasing the laser damage threshold of optics.Due to the spatially stacked structure,accurately detecting and distinguishing them has become a majo... Surface defects(SDs)and subsurface defects(SSDs)are the key factors decreasing the laser damage threshold of optics.Due to the spatially stacked structure,accurately detecting and distinguishing them has become a major challenge.Herein a detection method for SDs and SSDs with multisensor image fusion is proposed.The optics is illuminated by a laser under dark field condition,and the defects are excited to gener-ate scattering and fluorescence lights,which are received by two image sensors in a wide-field microscope.With the modified algorithms of image registration and feature-level fusion,different types of defects are identified and extracted from the scattering and fluorescence images.Experiments show that two imaging modes can be realized simultaneously by multisensor image fusion,and HF etching verifies that SDs and SSDs of polished optics can be accurately distinguished.This method provides a more targeted reference for the evaluation and control of the defects of optics,and exhibits potential in the application of material surface research. 展开更多
关键词 Polished optics Surface defects Subsurface defects MULTISENSOR Image fusion
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