Textile quality detection method based on target detection

A quality detection method and target detection technology, applied in image enhancement, instrumentation, data processing applications, etc., can solve the problems of inaccurate detection results, large workload, low efficiency, etc., and achieve the effect of reducing the amount of calculation.

Active Publication Date: 2022-06-24
启东新朋莱纺织科技有限公司
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Problems solved by technology

[0003] At present, the detection of abnormal defects on the surface of textiles is mostly carried out manually. The traditional method of manually detecting abnormalities on the surface of textiles has problems such as inaccurate detection results, heavy workload and low efficiency.

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  • Textile quality detection method based on target detection
  • Textile quality detection method based on target detection
  • Textile quality detection method based on target detection

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Embodiment Construction

[0042] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following describes the specific implementation, structure, and structure of the textile quality detection method based on target detection proposed according to the present invention with reference to the accompanying drawings and preferred embodiments. , features and their effects are described in detail below. In the following description, different "one embodiment" or "another embodiment" are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0043] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0044]The embodiment of the present invention ...

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Abstract

The invention relates to the technical field of textile anomaly detection, in particular to a textile quality detection method based on target detection. The method first utilizes the gray value sequence corresponding to the phase space reconstruction filter image to obtain a reconstruction matrix and correlation dimension, and according to the correlation dimension Evaluate the filtered image to get quality anomaly index. Based on the abnormal quality index, the filtered images are screened to obtain multiple abnormal images. According to the difference of the color representation vector of each pixel point, the abnormal category and the corresponding abnormal area are obtained; the textile image containing the abnormal area information is input into the neural network model to output the abnormal level corresponding to each abnormal area; according to the abnormal level corresponding to each abnormal area and The area is used to rate the quality of the textile image and obtain the quality evaluation index. The invention detects the quality of the textile image and divides the abnormal areas into abnormal grades, thereby achieving the purpose of improving the accuracy and efficiency of the textile quality detection.

Description

technical field [0001] The invention relates to the technical field of textile abnormality detection, in particular to a textile quality detection method based on target detection. Background technique [0002] The control of textile quality is a crucial step in the weaving industry. Abnormal conditions such as flaws and defects on the surface of textiles will significantly affect the quality and aesthetics of the fabrics, and at the same time, will also affect the sale of textiles. Although the probability of textile defects produced by contemporary textile machinery and equipment has been minimized, it is still impossible to achieve 100% defect-free production in the production process. Therefore, abnormal detection of textiles is an extremely important link in textile industrial production. [0003] At present, the detection of abnormal defects on the surface of textiles is mostly carried out manually. The traditional methods of manually detecting abnormality on the surf...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/187G06T7/90G06Q10/06G06N3/04G06K9/62G06V10/764G06V10/74G06V10/82
CPCG06T7/0004G06T7/90G06Q10/06395G06T7/11G06T7/187G06T2207/10024G06T2207/30168G06T2207/20084G06N3/045G06F18/22G06F18/24Y02P90/30
Inventor 杨美琴
Owner 启东新朋莱纺织科技有限公司
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