Detection of thermal bridges from thermographic images by means of image processing approximation algorithms
DOI10.1016/j.amc.2017.08.058zbMath1426.94008arXiv1708.01463OpenAlexW2757567581MaRDI QIDQ2422836
Francesco Bianchi, Giorgio Baldinelli, Antonella Rotili, Danilo Costarelli, Gianluca Vinti, Francesco Asdrubali, M. Seracini
Publication date: 21 June 2019
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1708.01463
image processingsampling Kantorovich operatorsapproximation resultsthermal bridgesthermographic images
Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Thermodynamics and heat transfer (80A99)
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- Approximation by max-product neural network operators of Kantorovich type
- A Kantorovich variant of a new type Bernstein-Stancu polynomials
- Rate of approximation for multivariate sampling Kantorovich operators on some functions spaces
- Orlicz spaces and modular spaces
- Bivariate quartic spline spaces and quasi-interpolation operators
- On approximation properties of generalized Kantorovich-type sampling operators
- On the convergence of derivatives of B-splines to derivatives of the Gaussian function
- Approximation by means of nonlinear Kantorovich sampling type operators in Orlicz spaces
- Approximation of continuous and discontinuous functions by generalized sampling series
- Neural network operators: constructive interpolation of multivariate functions
- Degree of approximation for bivariate extension of Chlodowsky-type $q$-Bernstein-Stancu-Kantorovich operators
- On truncation errors of some generalized Shannon sampling operators
- Lobachevsky spline functions and interpolation to scattered data
- Approximation of discontinuous signals by sampling Kantorovich series
- Pointwise and uniform approximation by multivariate neural network operators of the max-product type
- Approximation in variation by homothetic operators in multidimensional setting.
- Max-product neural network and quasi-interpolation operators activated by sigmoidal functions
- Adaptive wavelet thresholding for image denoising and compression
- Approximation by Nonlinear Multivariate Sampling Kantorovich Type Operators and Applications to Image Processing
- A class of spline functions for landmark-based image registration
- Approximation Results for a General Class of Kantorovich Type Operators
- Spline Functions
- Convergence for a family of neural network operators in Orlicz spaces
- Nonlinear integral operators with homogeneous kernels: pointwise approximation theorems
- Degree of Approximation for Nonlinear Multivariate Sampling Kantorovich Operators on Some Functions Spaces
- A Natural Formulation of Quasi-Interpolation by Multivariate Splines
- Error estimates for some quasi-interpolation operators
- Prediction by Samples From the Past With Error Estimates Covering Discontinuous Signals
- Numerical integration on multivariate scattered data by Lobachevsky splines
- Applications of sampling Kantorovich operators to thermographic images for seismic engineering
- Scattered Data Approximation
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