Bottleneck quality detection method based on machine vision

Abstract

The invention discloses a bottleneck quality detection method based on machine vision. The bottleneck quality detection method comprises the following steps: collecting an image of a to-be-detected bottleneck, and converting the image into a grey-scale map; calculating the gradient vector of each pixel point of the grey-scale map, so as to obtain an edge image of the grey-scale map of the to-be-detected bottleneck; cutting edges according to a grey-scale threshold; cutting an inner ring and an outer ring of the to-be-detected bottleneck by taking the area as a character; respectively calculating circle center coordinates and radiuses of the inner ring and the outer ring, averaging the circle center coordinates to obtain the circle center coordinate of the to-be-detected bottleneck, and setting a radius value range according to the radiuses of the inner ring and the outer ring; acquiring a circle parameter equation according to the circle center coordinate and the radius value range of the to-be-detected bottleneck, carrying out circular scanning on a circular ring according to the circle parameter equation, calculating an average gray value, and drawing an average gray value curve; and analyzing the average gray value curve, and determining the annular ring is not damaged when the variation range of the annular ring is in a certain range. According to the bottleneck quality detection method, the detection efficiency of the bottleneck quality is improved.

Description

technical field [0001] The invention relates to the technical field of quality detection, in particular to a machine vision-based bottle finish quality detection method. Background technique [0002] Wine, beverage, medicine, food and other manufacturing industries have adopted a large number of filling production lines in production, and most of them use glass bottles as product packaging. However, glass bottles are inevitably polluted and damaged during production and transportation, especially in industries such as beer that need to use recyclable glass bottles. Therefore, glass bottles must go through cleaning, testing and other processes before entering the filling process. In order to overcome the harm caused by foreign matter and damage, it is necessary to carry out meticulous inspection on the glass bottle before filling, which is called full bottle inspection in the industry. This detection is usually performed manually in a dark room under light. [0003] The vis...

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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to overcome the above-mentioned defects of the prior art, provide a kind of bottle mouth quality detection method based on machine vision, solve the problem of relying on manual detection accuracy and low efficiency in the past, and improve the detection efficiency of the domestic manufacturing industry. technical content

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