Character defect detection method and device based on morphology

A technology based on morphology and defect detection, applied in the field of digital images and computer vision, to achieve the effect of reducing the accuracy of mechanical benchmarks, high detection accuracy, and reducing equipment costs

Active Publication Date: 2019-01-04
郭江波
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a character defect detection method and device based on morphology, which can effectively solve the problem of misjudgme

Method used

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  • Character defect detection method and device based on morphology
  • Character defect detection method and device based on morphology

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Embodiment Construction

[0041] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0042] Such as figure 2 Shown, a kind of device for the character defect detection method based on morphology, it comprises:

[0043] A production line conveyor belt 1, used to convey products 5, with a product 5 testing area on its upper surface;

[0044] A PC 2 with a preset software system, the software system includes a template management module, an image preprocessing module, a morphological operation module, and a result processing module for image processing and judgment;

[0045] An industrial camera 3 is installed on the bracket above the production line conveyor belt 1, which is connected to the PC 2 through a communication interface, and the height of the industrial camera 3 is adjustable;

[0046] A digital light source 4 is installed above the production line conveyor belt 1 and directly below the industrial camera 3. It include...

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Abstract

The invention discloses a character defect detection method and device based on the morphology. The device includes a production line conveyor belt 1, a PC machine 2, an industrial camera 3 and a digital light source 4. The method includes the following steps that, installation and position calibration of the digital light source and the industrial camera are conducted respectively, and pixel equivalent calibration is conducted on the industrial camera; a template is established; a real-time test image, collected by the industrial camera, of a product on a production line conveyor belt is processed through a loading module; the integrity of a test area of the test image is judged; the test image and a character skeleton image and a character expansion image of the template are extracted respectively; the bidirectional morphological operation is used for judging the continuity and integrity of characters in the test image, a character defect area is marked by color rendering, the morphological operation serves as the core, and the two-way comparison of the product and the template is completed. The detection accuracy is high and the cost of manual re-evaluation is reduced.

Description

technical field [0001] The invention relates to the fields of digital images and computer vision, in particular to a method and device for detecting character defects based on morphology. Background technique [0002] Now products in all walks of life will be printed or engraved with some product information (such as origin, company name, product name, QR code, etc.) for customers to identify and verify the authenticity of the product. The detection of these text and image code information is a very important part of the product production process. Character defects such as shadows. [0003] Because the printing head of the current printing equipment or laser engraving equipment prints characters, there are generally certain errors, that is, the thickness of the character strokes and the character spacing are not completely consistent, and the complexity (number of strokes) of each character is not the same. Most of the current character defect detection software achieves ...

Claims

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Application Information

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IPC IPC(8): G01N21/89
CPCG01N21/8914
Inventor 郭江波郭江鸿
Owner 郭江波
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