Method for comprehensively interpreting infrared detection characteristics of large-size test piece

An infrared detection, large-scale technology, applied in computer parts, image data processing, instruments, etc., can solve the problems of detection integrity degradation, defect omission, and affecting the accuracy of defect quantitative analysis, so as to improve the performance of defect feature characterization and improve The effect of detection ability

Active Publication Date: 2021-12-07
中国空气动力研究与发展中心超高速空气动力研究所
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The fine defects that are smoothed out directly affect the accuracy of defect quantitative analysis, resulting in defect omission and the decline of detection integrity

Method used

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  • Method for comprehensively interpreting infrared detection characteristics of large-size test piece
  • Method for comprehensively interpreting infrared detection characteristics of large-size test piece
  • Method for comprehensively interpreting infrared detection characteristics of large-size test piece

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Comparison scheme
Effect test

Embodiment 1

[0245] like Figure 1-3 As shown: a large-size test piece infrared detection feature of the present invention, including the following steps:

[0246] Step 1. Multiple infrared detection of large-size test pieces, obtain a plurality of thermal image sequences of large-sized test pieces, and obtain large size test pieces from multiple heat image sequences using infrared feature extraction and infrared heat image reconstruction algorithm Multiple reconstruction infrared heat images, specific methods include:

[0247] Step S11, a three-dimensional matrix collection of multiple thermal imaging sequences obtained from the infrared thermal imager {s 1 , ..., s i , ..., s |C| } Indicated, where s i A heat image sequence obtained in the infrared thermal imagery in the infrared thermal imagery in the III infrared detection, | C | Represents the total number of hot image sequences; i (m, n, t) represents the Mth row of the TF thermal image in the first thermal image sequence, the temperature...

Embodiment 2

[0357] A step of extracting features using infrared and infrared image reconstruction algorithm to obtain reconstructed infrared thermal image from the infrared image sequence, the specific steps include:

[0358] Step S11, the step S11, the acquisition of the image by the infrared camera into a thermal sequence S, wherein each of the extracted information and the transient thermal response characteristic matrix composed of Fe; wherein, S (i, j, t) represents the image sequence t i-th row of the frame of the thermal image, the pixel values ​​of j-th column, t = 1, ..., T, T is the total number of frames, i = 1, ..., I, I is the number of rows, j = 1, ..., J, J is the total number of columns; of Fe (i, j, f) represents the i-th row feature matrix, the f j th column corresponding to the coordinate position (f = 1, ..., 6) months characteristic information; wherein the first peak amplitude characteristic information heat, i.e., Fe (i, j, 1) = max (S (i, j, :)), S (i, j, :) represents...

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Abstract

The invention discloses a method for comprehensively interpreting infrared detection characteristics of a large-size test piece, which comprises the following steps of: acquiring an infrared thermal image sequence of the large-size test piece from infrared detection, and acquiring an infrared thermal reconstruction image of the large-size test piece from the infrared thermal image sequence; down-sampling the typical type defect infrared thermal reconstruction image in the large-size impact test piece to obtain a down-sampling thermal image containing a relatively low infrared thermal radiation data volume, and executing a multi-target guiding filtering weight acquisition layer step based on the down-sampling thermal image; and based on the multi-target optimal weight ratio parameter, carrying out a multi-target guiding filtering fusion algorithm on the original infrared reconstruction thermal image layer, and finally combining the base layer thermal image and the detail layer thermal image after weighted averaging to obtain a final fusion detection infrared thermal image. Clustering efficiency is improved, the overall detection time of a detection algorithm is shortened, the detection performance of a single infrared thermal image is improved, and the problem that defects of the single detected image are incomplete is solved.

Description

Technical field [0001] The present invention belongs to the technical field defect detection equipment, and more particularly, the present invention relates to an infrared detector wherein one kind of a large-sized specimen integrated interpretation method. Background technique [0002] Pressure vessel in the aerospace, energy, chemical, metallurgical machinery widely used, such as rocket fuel tanks, space stations and the like capsule, since it is often used to contain flammable liquids or gases having a certain pressure, so the its safety testing is essential. Common defect type pressure vessel fatigue crack defects, weld defects, corrosion and other defects, corresponding conventional testing methods are more mature. However, the inner diameter of not less than 2 meters or more in terms of large pressure vessels, its fast, all-round, detailed defect detection is difficult. Infrared thermography is an effective method for non-destructive testing for non-contact Defects large pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0004G06T2207/10048G06T2207/20221G06T2207/30164G06F18/231Y02T10/40
Inventor 黄雪刚谭旭彤殷春雷光钰姜林罗庆石安华
Owner 中国空气动力研究与发展中心超高速空气动力研究所
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