Dirt detection method
A detection method and stain technology, applied in the field of visual inspection, can solve the problems of easy false detection, difficult parameter adjustment, low detection efficiency, etc., and achieve the effect of improving accuracy and reliability, improving detection efficiency, and avoiding object structure interference
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[0054] Example 1
[0055] This embodiment provides a stain detection method, which uses such as figure 2 The detection device shown includes an industrial camera, a ring light source, an object to be tested and a flat light source; the detection device uses a set of front ring light sources to ensure the detection effect of defects on the inner surface of the cover, and also adds a set of back flat light sources, Ensure the detection effect of impurities and color difference in the material inside the cover. In this example, the object to be tested is a lid, which can be a bottle lid or a barrel lid; in other embodiments, we can also detect tableware such as plastic / paper bowls, plastic / paper cups, and plastic / paper plates.
[0056] Such as image 3 As shown, the implementation process of the detection method is as follows:
[0057] Step 1: Use the above detection device to obtain the grayscale image src of the object to be tested 0 (x,y), such as Figure 4 Shown.
[0058] 1. Target...
Example Embodiment
[0109] Example 2
[0110] This embodiment 2 uses the existing image segmentation method and the image segmentation method described in the marketed embodiment 1 to perform image segmentation on a product, and obtains a comparison chart of the segmentation effects of the two, such as Picture 10 Shown, where, Picture 10 (Left) The picture uses existing image segmentation (divided into 4 regions), Picture 10 (Right) The image uses the image segmentation method described in Example 1 (divided into two regions).
[0111] In this embodiment 2, the existing detection method and the detection method described in the above-mentioned embodiment 1 were used to test a certain product, and the test results were obtained, and the test results were compared. Picture 11 Shown, where, Picture 11 (Left) The picture uses the existing detection method, Picture 11 (Right) The figure uses the detection method described in Example 1. It is known from the figure that the present invention can obta...
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