Complex texture industrial product image defect detection method

An industrial product and defect detection technology, applied in the field of defect detection, can solve problems such as low defect detection accuracy and poor adaptability, and achieve poor adaptability and defect detection accuracy, strong adaptability, and strong self-learning ability Effect

Active Publication Date: 2020-07-14
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0004] This application provides an image defect detection method for industrial products with complex textures, which is used to solve the technical problems of poor adaptability and low defect detection accuracy of existing defect detection methods in complex scenarios

Method used

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  • Complex texture industrial product image defect detection method
  • Complex texture industrial product image defect detection method
  • Complex texture industrial product image defect detection method

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Embodiment Construction

[0034] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0035] For ease of understanding, see figure 1 , an embodiment of a method for detecting image defects of industrial products with complex textures provided by the present application, including:

[0036] Step 101, acquiring an image of an industrial product to be inspected.

[0037] It should be noted that the image of the industrial product to be inspected can ...

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Abstract

The invention discloses a complex texture industrial product image defect detection method. The method comprises: obtaining a to-be-detected industrial product image is acquired; matching the to-be-detected industrial product image with a normal industrial product image in a preset database based on a mean value perceptual hash algorithm to obtain a first target image with a single background, thenormal industrial product image and the to-be-detected industrial product image corresponding to the same industrial product; and inputting the first target image into a preset convolutional neural network, and outputting a detection result of the to-be-detected industrial product image, thereby solving the technical problems of poor adaptability and low defect detection accuracy of an existing defect detection method in a complex scene.

Description

technical field [0001] The present application relates to the technical field of defect detection, in particular to a method for detecting defects in images of industrial products with complex textures. Background technique [0002] In the actual production process, industrial products are often affected by many factors such as industrial technology, production equipment, and production environment. Therefore, the quality of industrial products will inevitably suffer certain damages, such as scratches and deformation. Unqualified products may cause customers to doubt the product quality and reputation of the company, thus bringing economic losses to the company. Therefore, it is very necessary to realize real-time defects of products in the actual production process. [0003] The traditional defect detection is mainly carried out manually, and the defect detection of the product is carried out according to the experience of the inspector. This method is difficult to meet the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/32G06N3/04
CPCG06T7/0004G06V10/25G06N3/045Y02P90/30
Inventor 王涛陈俊豪程良伦张俊华
Owner GUANGDONG UNIV OF TECH
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