In this paper, we develop a procedure for the detection of the contours of thermal bridges from thermographic images, in order to study the energy 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 improvement of the parameter defining the thermal bridge is obtained

Detection of thermal bridges from thermographic images by means of image processing approximation algorithms

F. Asdrubali;
2018-01-01

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 energy 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 improvement of the parameter defining the thermal bridge is obtained
2018
Sampling Kantorovich operators, Approximation results, Thermographic images, Image processing, Thermal bridges
File in questo prodotto:
File Dimensione Formato  
app math.pdf

non disponibili

Licenza: NON PUBBLICO - Accesso chiuso
Dimensione 2.7 MB
Formato Adobe PDF
2.7 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12071/39950
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact