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Textile defect detection method and system based on style transfer and artificial intelligence

A defect detection and artificial intelligence technology, applied in the field of artificial intelligence, to achieve the effect of simplifying the amount of data

Active Publication Date: 2022-05-13
启东市固德防水布有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to solve the above-mentioned technical problems, the object of the present invention is to provide a textile defect detection method and system based on style transfer and artificial intelligence, and the adopted technical scheme is as follows:

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  • Textile defect detection method and system based on style transfer and artificial intelligence
  • Textile defect detection method and system based on style transfer and artificial intelligence
  • Textile defect detection method and system based on style transfer and artificial intelligence

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Embodiment Construction

[0037] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, a method and system for detecting textile defects based on style transfer and artificial intelligence proposed according to the present invention will be described below in conjunction with the accompanying drawings and preferred embodiments. , its specific implementation, structure, characteristics and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0038] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0039] The specific solution o...

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Abstract

The invention relates to the technical field of artificial intelligence, in particular to a textile defect detection method and system based on style transfer and artificial intelligence. This method obtains the defect information in the simple textured textile image, and obtains the initial defect segmentation image. Segment the initial segmented image into defect region images and normal region images. The defect region images belonging to different initial segmentation images and belonging to the same region are matched with the normal region images to obtain the style transfer image group. Perform style transfer on the style transfer image group to obtain the style transfer image. The style transfer images are spliced ​​to obtain complex textured textile images, and the optimal defect detection network is trained using the complex textured textile images, and the textile defects of the textile images to be detected are detected through the optimal defect detection network. The invention improves the detection capability and applicability of the optimal defect detection network by using complex textured textile images containing defect information and multiple style information as training data.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a textile defect detection method and system based on style transfer and artificial intelligence. Background technique [0002] Textiles are used in many industries such as clothing and handicrafts. Textile defect detection is of great significance to the textile industry. Taking the clothing industry as an example, defects in textiles will lead to a decline in the quality and reputation of clothing, which will affect sales of clothing. Therefore, it is necessary to accurately screen out the defect information of textiles to avoid affecting the quality of finished products due to textiles containing defect information. [0003] Textile defects are mainly detected manually, but manual detection is prone to missed detection and false detection, and the efficiency is low and the detection speed is slow. Using machine learning and deep learning algorithms can repla...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T3/00G06T3/40
Inventor 唐木香张宗望
Owner 启东市固德防水布有限公司