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- W2354496329 abstract "The effective defects detection of the optical element surface becomes the key guarantee to the quality of the optical system.Aimed at the shortages of the defects detection system,which can't handle the target with a single-pixel wide and the speed of the defects geometric feature parameters extraction is too slow,a rapid feature extraction algorithm based on the combination of vertex chain code and discrete green is designed.The method turns the surface integral into line integral and improve the extraction speed up to about three times of the traditional methods,and the calculation of varied parameters is unified under the framework of this algorithm,and the non-closed single-pixel wide defects is handled.Moreover,under its better generalization ability,the recognition rates of defects classification using machine learning methods reachs more than 90%." @default.
- W2354496329 created "2016-06-24" @default.
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- W2354496329 date "2012-01-01" @default.
- W2354496329 modified "2023-09-24" @default.
- W2354496329 title "Fast method for large aperture optical elements surface defects detection" @default.
- W2354496329 hasPublicationYear "2012" @default.
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