Image Segmentation Processing for Thermographic Analysis


DOI: https://doi.org/10.15308/Sinteza-2022-394-398
Authors:
Ivana Walter
Marko Tanasković

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Keywords:
infrared, image segmentation, neural network.


Abstract:
Thermography is commonly applied for determining abnormalities in various systems. Thermal image analysis can identify different issues on objects. Infrared inspection has wide application in various fields such as medicine, electrical engineering, and construction. The images in this technology are obtained by colouring using pseudo-colours that correspond to the radiative energy of detected items. The infrared detector registers surface temperatures in the surrounding and maps them to the corresponding colours according to the specific colour palette. This paper presents methods that can be applied in the processing for thermal images in order to simplify the inspection of temperature levels.

CITATION:

IEEE format

I. Walter, M. Tanasković, “Image Segmentation Processing for Thermographic Analysis,” in Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2022, pp. 394-398. doi:10.15308/Sinteza-2022-394-398

APA format

Walter, I., Tanasković, M. (2022). Image Segmentation Processing for Thermographic Analysis. Paper presented at Sinteza 2022 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2022-394-398

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