An automatic positioning method for non-woven bags based on computer vision
A computer vision, non-woven bag technology, applied in computing, image analysis, image enhancement and other directions, can solve the problems of low artificial positioning efficiency and inaccurate positioning of non-woven fabrics, achieve fast calculation speed, high degree of intelligence, accurate positioning
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[0060]With reference to the accompanying drawings, a computer vision-based automatic positioning method for non-woven bags, the steps are as follows:
[0061] Step 1: Obtain the real-time image P of the non-woven bag with a resolution of 800×600 from the high-speed industrial camera k , the image has a height of 800 and a width of 600;
[0062] Step 2. Obtain the front line and background image of the non-woven bag through the frame difference method. The specific process is as follows:
[0063] Step 2.1 Calculate the difference image of two consecutive frames of images, the calculation formula is
[0064] G 1 =P k -P k-1
[0065] where P k-1 is the image at the previous moment, P k is the image at the current moment, G 1 is the difference image at the current moment;
[0066] Step 2.2 Perform Gaussian filter calculation on the difference image to eliminate noise, set the width of the Gaussian function to 5, and the calculation formula is
[0067]
[0068] Where x...
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