Method for positioning bottle bodies on production line based on machine vision

A technology of machine vision and positioning method, applied in the field of visual positioning, can solve the problems such as the low positioning accuracy of template matching method, the inability to reduce the false detection rate of products, and the reduction of real-time detection process.

Active Publication Date: 2012-10-03
HUNAN UNIV
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Problems solved by technology

In actual production, because the positioning accuracy of the template matching method is not high, the false detection rate of the product cannot be...

Method used

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  • Method for positioning bottle bodies on production line based on machine vision
  • Method for positioning bottle bodies on production line based on machine vision
  • Method for positioning bottle bodies on production line based on machine vision

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Embodiment 1

[0122] Such as figure 1 and figure 2 Shown, the special-shaped bottle body visual positioning method of the present invention, its concrete process is:

[0123] 1. Image preprocessing.

[0124] Since the image of the bottle body inevitably has various external and internal interferences during the process of sensing, collecting, transmitting, and processing, it is necessary to perform specific preprocessing operations on the image before positioning. Considering not to lose too much edge detail while filtering, the present invention first performs a 3×3 median filtering operation on the original image. Then use the Sobel edge detection operator to perform edge detection on the filtered image, and give a threshold of 8 to binarize the edge image; next, use a 4×4 rectangular expansion operator to perform an expansion operation on the initial edge image; Then use a 3×3 rectangular erosion operator to perform an erosion operation on the expanded edge image.

[0125] 2. Extrac...

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PUM

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Abstract

The invention discloses a method for positioning bottle bodies on a production line based on machine vision. The method comprises the following steps of: 1, acquiring images of the bottle bodies and preprocessing the images; 2, extracting edge point sets outside a plurality of groups of bottle bodies, namely scanning the preprocessed images along a longitudinal linear trace and a fixed-point circular trace twice, and effectively eliminating error points by a minimum deviation absolute value sum method; 3, integrating the edge point sets, performing least square method on the integrated edge point set, and then performing linear fitting, thus obtaining an edge characteristic line set; and 4, calculating positioning characteristic angle points of bottle bodies of special bottles according to an intersection relation among elements of the line set, thus obtaining bottle body characteristic information, such as a deflection angle of each bottle body, the height of each bottle, the width of each bottle and the geometric center according to the characteristic angle points. According to the method, the bottle bodies can be automatically identified and quickly and precisely positioned.

Description

technical field [0001] The invention belongs to the field of visual positioning methods, and relates to a machine vision-based positioning method for bottles on a production line, which is used in the process of on-line detection of visible foreign objects in liquid medicine in special-shaped bottles on the pharmaceutical industry production line based on machine vision. Background technique [0002] In the quality and packaging inspection production lines of modern large special-shaped bottles of liquid medicine, health wine, beverages and other products, especially on the fully automatic intelligent visual light inspection equipment, it is required to accurately position the special-shaped bottle body. However, the positioning device on the existing production line is mainly based on mechanical positioning, which has low precision, slow positioning speed, and poor flexibility, which cannot meet the requirements of modern high-speed automatic inspection production lines. In...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06T7/00
Inventor 王耀南张耀周博文张辉葛继吴成中陈俊朱慧慧周金丽
Owner HUNAN UNIV
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