Broad introduction of thermovision systems in medical practice, and their multifunctional intension make it necessary to find new, more effective ways to processing and analysis of thermal patterns. Acception of these methods in medicine should provide higher diagnostic accuracy and informativeness of thermovision. Solution of this problem can be achieved by different approaches. One, that seems to be promising, is based on employing the programmed electronic-computational aids of limited output in thermovision systems. This will offer a possibility to solve several questions, associated with display of initial pattern in a form convenient for further processing, with some conversions for detecting informative signs and obtaining their quantitative estimates.