Chukun Luo
ABSTRACT
Aiming at the problem of inaccurate number of bagged medicines in the packing boxes of the medicine production line, a method for counting medicine bags based on machine vision is proposed. This method firstly performs grayscale, image scaling, cropping, threshold segmentation and other operations on the Medicine bags images, and retains the part of the image that can effectively detect the number of pill bags, and then performs image refinement processing on it to extract the pill bag skeleton in the image. Through the feature analysis of the refined images, a multi-region target statistical counting method is proposed, and finally the number of medicine bags in the medicine box image is detected. Experimental results show that this design has high accuracy and speed for detecting the number of medicine bags in the medicine box, so this design is feasible.
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Index Terms
- Research on Statistical Algorithm of Multi-region Medicine Bags Based on Refinement Algorithm
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