Detection of thermal bridges from thermographic images for the analysis of buildings energy performance
For building energy auditors, this provides an automated method to identify thermal bridges from thermographic images, though the improvement is incremental.
The paper develops a procedure to detect thermal bridge contours from thermographic images to analyze building energy performance, achieving improved accuracy in defining thermal bridge parameters.
In this paper, we develop a procedure for the detection of the contours of thermal bridges from thermographic images, in order to study the energetic performance of buildings. Two main steps of the above method are: the enhancement of the thermographic images by an optimized version of the mathematical algorithm for digital image processing based on the theory of sampling Kantorovich operators, and the application of a suitable thresholding based on the analysis of the histogram of the enhanced thermographic images. Finally, an accuracy improvement of the parameter that defines the thermal bridge is obtained.