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Detection of thermal bridges from thermographic images by means of image processing approximation algorithms
- Source :
- Applied Mathematics and Computation. 317:160-171
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
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.
- Subjects :
- Approximation results
Sampling Kantorovich operatorsApproximation resultsThermographic imagesImage processingThermal bridges
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Thermal bridges
Image processing
010103 numerical & computational mathematics
01 natural sciences
Thermal bridge
Sampling (signal processing)
Approximation results, Image processing, Sampling Kantorovich operators, Thermal bridges, Thermographic images, Computational Mathematics, Applied Mathematics
Histogram
Digital image processing
Computer vision
0101 mathematics
Mathematics
business.industry
Applied Mathematics
010102 general mathematics
Sampling Kantorovich operators
Computational mathematics
Approximation algorithm
Thermographic images
Thresholding
Computational Mathematics
Computer Science::Computer Vision and Pattern Recognition
Artificial intelligence
business
Subjects
Details
- ISSN :
- 00963003
- Volume :
- 317
- Database :
- OpenAIRE
- Journal :
- Applied Mathematics and Computation
- Accession number :
- edsair.doi.dedup.....0dc91d3020983d5c78c16d044d0c221a
- Full Text :
- https://doi.org/10.1016/j.amc.2017.08.058