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Texture defect detection method and device

A defect detection and texture technology, applied in image data processing, image analysis, image enhancement, etc., can solve problems such as low efficiency, strong subjectivity, low precision, etc., to improve detection efficiency, improve accuracy and reliability, meet The effect of high-speed production efficiency

Pending Publication Date: 2020-12-25
扬州哈工科创机器人研究院有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to solve the problems of low precision, strong subjectivity, and low efficiency of the current method for identifying whether there are internal defects in the workpiece, the embodiment of the present application provides a texture defect detection method and device

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  • Texture defect detection method and device
  • Texture defect detection method and device
  • Texture defect detection method and device

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Embodiment Construction

[0042] The present application will be further introduced below in conjunction with the accompanying drawings and embodiments.

[0043] In the following introduction, the terms "first" and "second" are only used for the purpose of description, and should not be understood as indicating or implying relative importance. The following description provides multiple embodiments of the present invention, and different embodiments can be replaced or combined in combination, so this application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment contains features A, B, C, and another embodiment contains features B, D, then the application should also be considered to include all other possible combinations containing one or more of A, B, C, D Although this embodiment may not be clearly written in the following content.

[0044] The following description provides examples, and does not limit the scope,...

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Abstract

The invention provides a texture defect detection method and device, and the method comprises the steps: obtaining a workpiece scanning image which is an X-ray image or a CT image; preprocessing a workpiece scanning image; performing texture layering on the workpiece scanning image to obtain a texture region; segmenting the texture region to obtain texture subareas; extracting texture features ofthe texture subareas; and comparing the textural features with a standard component feature statistical threshold to obtain whether the workpiece has defects and defect types. Manual visual defect detection can be replaced, workpiece defects are automatically detected based on texture analysis of images, and accuracy and reliability are effectively improved. Batch processing can be realized, the detection efficiency is improved, and the requirement of high-speed production efficiency of enterprises is met.

Description

technical field [0001] The invention relates to the field of non-destructive testing, in particular to a method and device for detecting texture defects. Background technique [0002] Non-destructive testing (Non Destructive Testing, NDT) refers to the use of heat, sound, light, Changes in electric and magnetic reactions, by means of physical or chemical methods, with the help of modern technology and equipment, to analyze the structure, nature, state, and type, nature, quantity, shape, position, and size of the internal and surface of the test piece , distributions and their variations are examined and tested. [0003] Nondestructive testing is an essential and effective tool for industrial development, including X-ray nondestructive testing, CT nondestructive testing, etc. In the traditional solution, manually observe the scanned workpiece image, combine industry requirements and own experience, and identify whether the workpiece has internal defects. This method has pr...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/45G06T7/49G06T7/11G06K9/62
CPCG06T7/0004G06T7/45G06T7/49G06T7/11G06T2207/30164G06T2207/10081G06T2207/10116G06F18/24
Inventor 张广才何继荣陈志芸寇江伟
Owner 扬州哈工科创机器人研究院有限公司