The proposed method can adaptively extract deep features from the input image without any supervised training. ![]() However, how to extract features which have strong generalization and data representation ability at the same time is still an open problem for machine vision-based methods.Ī micro-crack detection method based on adaptive deep features and visual saliency is proposed in this paper. An effective machine vision-based method for micro-crack detection of solar cell can economically improve the qualified rate of solar cells.
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