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- W2351433870 abstract "During the lens automatic detection based on machine vision technology,the defects should be classified in order to achieve the grading of the lenses.Automatic detection system components,working principle and the resin lens major defects are simply introduced.As for the classification of the three main defects of point impurities,scratches and feathers,the circularity and straight-line fitting correlation have been proposed in this paper as the classifying features.The threshold of the classifying features has been calculated on the basis of data analysis and statistics.The influence of the thinning algorithm on the straight-line fitting correlation has been discussed for the defects of scratches and feathers.The experimental results show that the thinning algorithm plays an important role in improving classification accuracy of scratches and feathers.The experiment is conducted to analyze the feasibility of the algorithm.The results indicate that this method has a high classification accuracy of 96%for the three defects,which meets the requirements of the detection system." @default.
- W2351433870 created "2016-06-24" @default.
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- W2351433870 date "2014-01-01" @default.
- W2351433870 modified "2023-09-24" @default.
- W2351433870 title "Resin lens defect classification based on image processing" @default.
- W2351433870 hasPublicationYear "2014" @default.
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