Improving the Efficiency of Defect Image Identification During Computer Decoding of Digital Radiographic Images of Welded Joints of Hazardous Production Facilities

This article is devoted to improving the efficiency of flaw image identification during computer decoding of digital radiographic images. The paper studies the problem of segmentation of flaw images. Models of segmentation of flaw images on a radiographic image are studied for both manual and computer decoding. The difference between algorithms for searching and identifying groups, clusters, chains of pores, slag and metal inclusions from manual decoding of images is shown. Algorithms for the search and identification of flaws for use in digital radiography complexes have been developed and experimentally tested at HSC KARS. The convergence of the results of computer and manual decryption was 0,85.

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Publication Details

Journal
Дефектоскопия
Published
2024-12-18
DOI
https://doi.org/10.31857/s0130308224120056
Primary Topic
Industrial Engineering and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Improving the Efficiency of Defect Image Identification During Computer Decoding of Digital Radiographic Images of Welded Joints of Hazardous Production Facilities

S. A. Grigorchenko, В. И. Капустин
Дефектоскопия
Industrial Engineering and Technologies
article

Improving the Efficiency of Defect Image Identification During Computer Decoding of Digital Radiographic Images of Welded Joints of Hazardous Production Facilities

S. A. Grigorchenko, В. И. Капустин
article en

Abstract

This article is devoted to improving the efficiency of flaw image identification during computer decoding of digital radiographic images. The paper studies the problem of segmentation of flaw images. Models of segmentation of flaw images on a radiographic image are studied for both manual and computer decoding. The difference between algorithms for searching and identifying groups, clusters, chains of pores, slag and metal inclusions from manual decoding of images is shown. Algorithms for the search and identification of flaws for use in digital radiography complexes have been developed and experimentally tested at HSC KARS. The convergence of the results of computer and manual decryption was 0,85.

Дефектоскопия(12)
Moscow Polytechnic University (RU)
Openalex Percentile: Top 76%
Industrial Engineering and Technologies
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