Beer bottleneck positioning method based on visual sense of machine

Abstract

The invention discloses a beer bottleneck positioning method based on the visual sense of a machine. The method includes the steps: (1) carrying out threshold processing on a bottleneck image, and obtaining the substantial position of the center of circle of a bottleneck through a center of gravity method; (2) conducting radial scanning with the center of circle being a center of gravity, and obtaining external periphery points of the bottleneck image; (3) removing interference points by means of the change characteristics of distances between the center of gravity and all the periphery points; (4) dividing the periphery points into groups, freely selecting Nc groups of the periphery points, conducting circle fitting by the least square method, obtaining proportions [Eta]j of the number of the periphery points on fit circles to the total number of the periphery points, and saving all fitting results and the corresponding proportions [Eta]j; and (5) selecting the center of one fit circle as the center of the bottleneck, the proportion of the number of the periphery points on the fit circle to the total number of the periphery points being the highest. The method can accurately and quickly position the center of a bottleneck if a beer bottleneck image is not complete and continuous interference points exist, and is suitable for automatic detection of the quality of beer bottlenecks on a high speed automatic assembly line.

Description

technical field [0001] The invention relates to the technical field of industrial automatic detection, in particular to a machine vision-based beer bottle mouth positioning method. Background technique [0002] my country's annual demand for wine bottles is huge. According to industry data, the cumulative output of my country's beer industry in 2014 was as high as 49.2185 million kiloliters. Calculated according to the bottle capacity of 530ml per bottle of beer, it would require as much as 9.28651x10 13 beer bottles, and more than 80% of the beer bottles use recycled old bottles. There are a large number of broken bottles in these old bottles. The broken bottle mouth may cause the failure of glass bottle packaging or bring great losses to consumers after successful packaging and sales. Potential safety hazards. Therefore, the quality of empty beer bottle mouths must be inspected before beer filling. Traditional manual inspection methods are difficult to guarantee the reliab...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problem that the existing bottleneck location algorithm has a large positioning error when the bottle mouth is severely damaged or there is a large amount of continuous interference, the present invention provides a bottle mouth positioning method with strong resistance to a large number of continuous interferences, which is comparable to empty beer bottles The detection machine is used together to realize the automatic detection of the quality of the beer bottle mouth

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