傅里叶方法在热成像图像校正中的应用

O. Baaj
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引用次数: 1

摘要

该工作致力于构建实现热成像图像校正方法的计算算法。在求解矩形截面圆柱形区域拉普拉斯方程的病态混合问题的基础上,进行了修正。这个问题对应于从被研究物体表面到热源的稳定温度分布作为调和函数的解析延拓问题。圆柱形区域由任意曲面和平面包围。在任意一个表面上,测量温度分布(因此是已知的)。它被称为热成像,再现了内部发热结构的图像。在这个表面上,即所研究对象的边界上,与给定温度的外部环境进行对流换热,这是牛顿定律所描述的。这是第三个边界条件,它与第一个边界条件一起对应于柯西条件——期望函数的边值及其法向导数。这个问题是不适定的。本文采用Tikhonov正则化方法,得到了该问题的近似解,该解相对于Cauchy数据中的误差稳定,可用于构建有效的计算算法。本文考虑了能够显著减少计算量的算法。
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On the application of the Fourier method to solve the problem of correction of thermographic images
The work is devoted to the construction of computational algorithms implementing the method of correction of thermographic images. The correction is carried out on the basis of solving some ill-posed mixed problem for the Laplace equation in a cylindrical region of rectangular cross-section. This problem corresponds to the problem of the analytical continuation of the stationary temperature distribution as a harmonic function from the surface of the object under study towards the heat sources. The cylindrical region is bounded by an arbitrary surface and plane. On an arbitrary surface, a temperature distribution is measured (and thus is known). It is called a thermogram and reproduces an image of the internal heat-generating structure. On this surface, which is the boundary of the object under study, convective heat exchange with the external environment of a given temperature takes place, which is described by Newton’s law. This is the third boundary condition, which together with the first boundary condition corresponds to the Cauchy conditions - the boundary values of the desired function and its normal derivative. The problem is ill-posed. In this paper, using the Tikhonov regularization method, an approximate solution of the problem was obtained, stable with respect to the error in the Cauchy data, and which can be used to build effective computational algorithms. The paper considers algorithms that can significantly reduce the amount of calculations.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
20
审稿时长
10 weeks
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