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

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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.

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About the authors

S. A. Grigorchenko

Kolomna Institute (Branch) of the Moscow Polytechnic University

Author for correspondence.
Email: rent_sig@mail.ru
Russian Federation, Kolomna

V. I. Kapustin

TECHNOPROGRESS Research Centre

Email: kapustin@tpcorp.ru
Russian Federation, Moscow

References

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Supplementary files

Supplementary Files
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2. Fig. 1. Generalised scheme of defect spacing: L12min, L13min, L23min, L24min, L34min - minimum distances between defects

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3. Fig. 2. Example of combining two inclusions into a cluster according to NP NP-105-18

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4. Fig. 3. Simplified block diagram of the DIM search algorithm

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5. Fig. 4. Illustration of application of the DIC search operation

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