Study of the signal/noise ratio and contrast characteristics of thermographic images using the thermal vision method of control of products made of non-metallic heterogeneous materials
DOI:
https://doi.org/10.15276/opu.1.73.2026.08Keywords:
control reliability, metrological characteristics, non-destructive thermal imaging control, non-metallic heterogeneous materials, thermogram processingAbstract
An urgent problem of scientific and technical development is ensuring the quality and reliability of the functioning of products made of non-metallic heterogeneous materials. Compared with traditional structural materials, the use of non-metallic heterogeneous materials allows for reducing the mass of the structure, increasing the service life, reducing material consumption, increasing the reliability and power of mechanisms, reducing the time required to manufacture parts, and simplifying the technological process of their manufacture. The possibility of developing fundamentally new structures and their operation in extreme conditions is created. An important role in solving such a problem is played by effective control methods. Promising from this point of view are methods of active thermal control, in which the informative parameter is the pattern of the thermal field of the surface under investigation. When solving the problem of developing an algorithm for flaw detection of products made of materials of the specified class, special attention should be paid to the signal-to-noise ratio and contrast characteristics of thermographic images, since it is these characteristics of the thermogram that are the main ones in ensuring the necessary reliability of control, as well as the accuracy of measuring the depth of occurrence and geometric characteristics of the detected defects. The main task of this work is to study the dependence of the signal-to-noise ratio and contrast characteristics of the thermogram of the product surface, which is controlled using the thermal imaging method, on factors such as the depth of the defect and its relative dimensions. In particular, the signal-to-noise ratio for thermal imaging control accounts for both the amplitudes
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