A method and system for detect defects in defective image
A defect detection and image technology, used in image enhancement, image analysis, image data processing, etc., can solve problems such as bad image defect detection methods, and achieve the effect of improving the level of automatic detection, ensuring industrial detection accuracy, and optimizing detection accuracy.
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[0045] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described with reference to the accompanying drawings.
[0046] In this embodiment, see figure 1 As shown, the present invention proposes a method for detecting defective image defects, including the steps:
[0047] S1, upload defective image data and normal image data;
[0048] S2, use a marking tool to mark the defect location on the defect image;
[0049] S3, divide the image data into training samples and test samples;
[0050] S4, according to different degrees of defects, use the neural network of the corresponding calculation level for training to train the deep learning model;
[0051] S5: Perform defect location by template matching method;
[0052] S6: Train the test samples through the deep learning model to detect the defect pixel area of the bad image and the specific location where the defect appears in the image, and predict t...
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