Multi-fuzzy reasoning cascaded primer side defect classification and damage degree analysis method
A technology of fuzzy reasoning and defect classification, applied in reasoning methods, image analysis, image data processing, etc., can solve problems such as low precision, complex production process, high false detection rate and missed detection rate of primer, and improve speed and accuracy , avoid mutual interference, and eliminate the effect of false detection
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[0018] The block diagram of the technical solution of the present invention is as figure 1 As shown, the specific steps are:
[0019] S100. Obtain the image I by thresholding the primer side image I 1 , to I 1 Use the run method to extract the area, length, width and gray value of each connected region in the image, where the area of the i-th connected region is represented by S F Express, long with L D Indicates that W is used for wide H Indicates that the average gray value is represented by A GV Represent, and calculate the aspect ratio of the i-th connected region as L D / W H ;
[0020]
[0021] In the formula, x and y are the horizontal and vertical coordinates of the pixel, and 75 is the threshold;
[0022] S200. To Image I 1 Carry out expansion operation to get pitting weight image I 2 , using the run-length method to extract I 2 The area of each connected region in the image, where the area of the i-th connected region is denoted as S D ; The conne...
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