The results indicates that the cubic logarithm polynomials can accurately reconstruct the raw thermal images in the experiment, and can effectively suppress the interference to defect recognition caused by random noise and uneven heating in the PT testing
The results indicates that the cubic logarithm polynomials can accurately reconstruct the raw thermal images in the experiment, and can effectively suppress the interference to defect recognition caused by random noise and uneven heating in the PT testing
结果表明利用三次对数多项式回归即可精确地重建本次实验的原始热像，同时能有效地克服复合材料层压板脉冲热像检测中随机噪声和加热不均效应对缺陷识别的干扰；经过数据重建后所作的数字图像比原始热像有更高的缺陷显示度或分辨力，其中以三次对数多项式回归公式中的二次项系数所作的数字图像的信噪比最大。