Pressure vessel weld defect identification method and device based on neural network

A technology for pressure vessel and defect recognition, which is applied in the field of image processing and defect recognition of radiographic inspection welds, can solve problems such as blurred defect edges, complex defect shapes, and high image noise, and achieves the goals of wide application, improved efficiency, and reduced detection costs Effect
CN104574418AInactive Publication Date: 2015-04-29XIAN TECHNOLOGICAL UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
XIAN TECHNOLOGICAL UNIV
Publication Date
2015-04-29
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention discloses a pressure vessel weld defect identification method and device based on a neural network. A computer reads in a radiographic inspection negative film image, and whether the quality of the negative film image is qualified or not is determined according to the read-in average darkness value of the negative film image; the negative film image is enhanced according to a fuzzy theory, and de-noising processing is conducted on the enhanced negative film image according to median filtering; a weld joint region is separated from the negative film image obtained after de-noising processing is conducted according to the morphological feature, and an original weld joint gray value is retained; defect filtering is conducted on the separated negative film image according to a mean filter, and a simulated ideal weld joint is formed to serve as a virtual background, the virtual background is subtracted from the original weld joint, and the weld joint defect is obtained after enhancement and de-noising are conducted. The invention further discloses the pressure vessel weld defect identification device, radiographic inspection weld joint images can be identified effectively, identification accuracy reaches 92%, the detection cost can be reduced greatly, and efficiency is improved.
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Description

technical field

[0001] The invention relates to the technical field of image processing and defect recognition of radiographic weld seam, in particular to a neural network-based method and device for identifying weld seam defects of pressure vessels. Background technique

[0002] With the rapid development of radiographic inspection and image processing technology, the detection of weld defects has gradually transitioned from manual evaluation to computer intelligent detection and identification. Using a computer to analyze and identify the digitized weld seam image not only improves the detection efficiency and economic benefits, but more importantly, the method is convenient, practical and easy to operate. Therefore, how to improve the intelligence, automation and quantification of radiation detection is a hot issue in the current research of radiation detection technology.

[0003] Due to the characteristics of radiographic inspection itself, the generated radiographic i...

Claims

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