Round container contour similarity retrieving method

Abstract

The invention discloses a round container contour similarity retrieving method which includes the steps that contour data of a sample container are extracted; contour data of a container to be retrieved are extracted; a preset tolerance range is extracted; the contour data of the sample container and the contour data of the container to be retrieved are compared, and the container to be retrieved in the tolerance range is extracted; the deviation parameter between the sample container and the container to be retrieved in the tolerance range is calculated; the contour of the container to be retrieved with the maximum difference parameter is defined as the target contour which is most similar to the sample container. By means of the round container contour similarity retrieving method, the contour data are automatically extracted, a container contour database with complete data is set up, and the method is more convenient and more accurate; meanwhile, the contour of the container to be retrieved with the minimum difference is defined as the target contour most similar to the sample container by analyzing the height tolerance, the neck diameter tolerance, the arithmetic mean deviation and the mean variance, and convenient and accurate searching of the round container with the similar contour is achieved.

Description

technical field [0001] The invention relates to a shape retrieval method, in particular to a method for similarity retrieval of the contours of circular bottles and cans. Background technique [0002] The cross-sections of glass bottles and jars are generally round, square, flat, etc., and most of them are round, but the changes in their axial contours are very numerous and complex, as shown in figure 1 and figure 2 shown. [0003] At present, in the daily-use glass industry, due to the need to refer to information such as the production process of similar products, it is necessary to find products with similar or similar profiles. [0004] The general method is to collect the basic information of bottles and cans (such as total height, maximum diameter, capacity, weight, etc.), find products with similar basic information, and then manually check them one by one. Correspondingly, the surface contour of a certain bottle can be surveyed and drawn by using the surveying an...

AI Technical Summary

Problems solved by technology

[0005] However, the use of the above methods will make the data collection of the shape of bottles and cans incomplete, and cannot be accurately positioned; at the same time, data screening can only rely on manual operations, and the accuracy is low and it takes a lot of manpower and time.

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