Machine vision detection method of visual foreign matters in medical medicament

Abstract

The invention discloses a machine vision detection method of visual foreign matters in a medical medicament, and the method comprises the following steps: (1) obtaining continuous frames of images; (2) preprocessing the images to eliminate noise; (3) extracting and segmenting a motion target, i.e., extracting the motion target based on an improved three-frame differential method; (4) tracking the motion target, i.e., tracking based on an SIFT (Scale Invariant Feature Transform) matching and most adjacent matching method; (5) analyzing the information of foreign matters, i.e., obtaining the dimension and number of the foreign matters and roughly analyzing the class of the foreign matters; and (6) finally, judging whether the bottle is qualified or not by comparing with the national standards. The method disclosed by the invention is extremely effective to the detection of the foreign matters in the medical medicament, and can be used for greatly improving the identification rate of the foreign matters in medicament liquid and reducing the false detection of the medicament.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a machine vision detection method for visible foreign objects in medical medicaments. Background technique [0002] Transparent pharmaceuticals are one of the important products in my country's pharmaceutical industry and are widely used clinically. Transparent medicine is a category of pharmaceutical products. Due to its rapid, efficient and controlled release characteristics, it is a drug that must be used daily in medical institutions. It is also an indispensable carrier or lysozyme for clinical rescue drugs and intravenous therapy drugs. In modern clinical occupies a very important position. But whether the quality of these transparent pharmaceutical products is reliable. There are many factors that affect the quality of transparent pharmaceutical products. In the infusion production process, in addition to the introduction of advanced production technology and strict managemen...

AI Technical Summary

Problems solved by technology

[0004] 2. Low signal-to-noise ratio, the target is easily overwhelmed by noise, and single-frame processing cannot guarantee reliable detection of the target

[0005] 3. The real-time requirements are high, and there are high requirements for the operation speed of the algorithm

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