Detection of thermal bridges from thermographic images for the analysis of buildings energy performance

TL;DR

This paper presents a method to detect thermal bridges in thermographic images to assess building energy performance, utilizing image enhancement and thresholding techniques for improved accuracy.

Contribution

The paper introduces a novel procedure combining sampling Kantorovich operators and histogram analysis for thermal bridge detection in thermographic images.

Findings

Enhanced detection accuracy of thermal bridges.

Effective image enhancement using sampling Kantorovich operators.

Improved parameter estimation for thermal bridges.

Abstract

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.