A yarn hairiness defect detection method based on image processing
A technology of image processing and defect detection, which is applied in the field of yarn hairiness, can solve problems such as the mixing of defective products, low accuracy, complicated operation, etc., and achieve the effects of cost saving, easy operation and high stability
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[0016] The specific embodiment adopts the following technical scheme: a kind of yarn hairiness defect detection method based on image processing, and its detection method is:
[0017] Step 1: Image collection: collect the intact and standard yarn hairiness image, and use the image as a reference image;
[0018] Step 2: Establish a detection production line: use the conveyor belt mechanism as the transportation, and then fix the camera mechanism and detection mechanism above the conveyor belt mechanism;
[0019] Step 3: Detection: Place the yarn hairiness on the conveyor belt mechanism, and then transmit the yarn hairiness through the conveyor belt mechanism. When the detection mechanism detects the yarn hairiness, the conveyor belt mechanism stops, and the camera mechanism collects images ;
[0020] Step 4: Image comparison: compare the detected image with the reference image. When there is an error, the yarn hairiness will enter the defective product box, otherwise it will e...
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