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Positioning method for automatically selecting hub two-dimensional code printing feasible region

A positioning method and two-dimensional code technology are applied in the positioning field where the hub automatically selects the feasible region for two-dimensional code printing. Effect

Active Publication Date: 2020-08-04
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, most of the two-dimensional codes of the wheel hub rely on the workers to independently select the coding position for coding. The main reason is that the coding position of the wheel hub is generally selected in the flat inner cavity groove area, but due to the inner cavity groove area At the same time, it will also contain character areas such as trademarks. Human eyes need to recognize the areas without trademark characters before coding.
Obviously, this way of working is inefficient and cannot form a real automation of production.

Method used

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  • Positioning method for automatically selecting hub two-dimensional code printing feasible region
  • Positioning method for automatically selecting hub two-dimensional code printing feasible region
  • Positioning method for automatically selecting hub two-dimensional code printing feasible region

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0036] Such as Figure 1-6 As shown, an image processing algorithm-based positioning method for automatically selecting the feasible area for wheel two-dimensional code printing includes the following steps:

[0037] S1: Determine the lighting environment. An image that is too bright will make it difficult to segment the feasible region. An image that is too dark will cause the trademark text in the groove to be too dark to be detected. Therefore, the lighting environment should not be too bright or too dark. The lighting environment determines the subsequent Image processing results. In some preferred manners, a closed lighting environment is selected so that the image only includes the central area of ​​the hub. The present invention selects a lighting environment with medium and dark brightness, and adjusts the camera to capture the inner ...

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Abstract

The invention provides a positioning method for automatically selecting a wheel hub two-dimensional code printing feasible region, and the method comprises the following steps: selecting a lighting environment with medium dark brightness, and adjusting a camera to shoot an inner cavity region of a wheel hub; preprocessing an inner cavity area of the hub image shot by the camera based on an image preprocessing method; obtaining and separating all possible two-dimensional code printing feasibility regions by combining image morphology and a contour detection algorithm; screening all possible coding feasibility groove areas for the first time on the basis of geometric measurement; and based on the output regional image, performing secondary screening based on brightness pixel statistics. According to the method, the coding area can be accurately selected, the accuracy is high, the coding feasibility area of the two-dimensional code is automatically recognized, and the method has good reliability and real-time performance.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a positioning method for automatically selecting a feasible region for two-dimensional code printing based on an image processing algorithm for a hub. Background technique [0002] Under the framework of Industry 4.0, the perception and control technology of smart factories must have the characteristics of high speed, high precision, modularization, intelligence, and non-destructive perception, and be able to realize independent configuration and adaptive adjustment according to different tasks to meet customized and personalized products. However, the traditional perceptual control technology cannot meet the above requirements. Machine vision technology involves many disciplines such as neurobiology, computer science, image processing, pattern recognition and artificial intelligence. It has the characteristics of high efficiency, high precision, non-contact and easy i...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G06T7/149G06T5/00G06T5/30
CPCG06T7/11G06T7/136G06T7/149G06T5/30G06T2207/20032G06T5/70
Inventor 童哲铭高杰
Owner ZHEJIANG UNIV