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Proceedings Paper

Method for improving visualization of infrared images
Author(s): Mario Cimbalista
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Paper Abstract

Thermography has an extremely important difference from the other visual image converting electronic systems, like XRays or ultrasound: the infrared camera operator usually spend hour after hour with his/her eyes looking only at infrared images, sometimes several intermittent hours a day if not six or more continuous hours. This operational characteristic has a very important impact on yield, precision, errors and misinterpretation of the infrared images contents. Despite a great hardware development over the last fifty years, quality infrared thermography still lacks for a solution for these problems. The human eye physiology has not evolved to see infrared radiation neither the mind-brain has the capability to understand and decode infrared information. Chemical processes inside the human eye and functional cells distributions as well as cognitive-perceptual impact of images plays a crucial role in the perception, detection, and other steps of dealing with infrared images. The system presented here, called ThermoScala and patented in USA solves this problem using a coding process applicable to an original infrared image, generated from any value matrix, from any kind of infrared camera to make it much more suitable for human usage, causing a substantial difference in the way the retina and the brain processes the resultant images. The result obtained is a much less exhaustive way to see, identify and interpret infrared images generated by any infrared camera that uses this conversion process.

Paper Details

Date Published: 21 May 2014
PDF: 10 pages
Proc. SPIE 9105, Thermosense: Thermal Infrared Applications XXXVI, 910504 (21 May 2014); doi: 10.1117/12.2063670
Show Author Affiliations
Mario Cimbalista, Thermotronics Industrial Ltd. (Brazil)


Published in SPIE Proceedings Vol. 9105:
Thermosense: Thermal Infrared Applications XXXVI
Gregory R. Stockton; Fred P. Colbert; Sheng-Jen (Tony) Hsieh, Editor(s)

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