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Enhancing IR Thermographic Inspection of Subsurface Defects by Using the Technique of Edge Detection

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Abstract

This paper presents a novel method for separating subsurface defects in cured preimpregnated carbon fiber reinforced polimer specimens on thermal images based on edge detection. Every specimen was recorded by means of infrared thermography in reflective configuration and raw data was processed by several algorithms: thermal signal reconstruction, fast Fourier transformation and principal component analysis. Images were processed to determine damaged and nondamaged areas. Algorithm for determining area of discontinuity is based on edge detection techniques. Edge detection enables both simulated damages and boundaries between specimen and the background in the thermal image to be detected. Proposed algorithm is emphasizing edges within Sobel filter. Edges are defined as transition zone between damaged and nondamaged material. In this article edge detection algorithm is used as decision assistance for nondestructive evaluation.

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ACKNOWLEDGMENTS

The support of Rimac-Automobili hypercar industry is gratefully acknowledged.

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  1. University of Split, FESB, Croatia

    P. Bagavac, L. Krstulović-Opara & Ž. Domazet

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  1. P. Bagavac
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  2. L. Krstulović-Opara
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  3. Ž. Domazet
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Correspondence to P. Bagavac, L. Krstulović-Opara or Ž. Domazet.

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Bagavac, P., Krstulović-Opara, L. & Domazet, Ž. Enhancing IR Thermographic Inspection of Subsurface Defects by Using the Technique of Edge Detection. Russ J Nondestruct Test 57, 609–618 (2021). https://doi.org/10.1134/S1061830921070020

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