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A Novel Approach to Structural Degradation Analysis using Correlated Peak Signal-to-Noise Ratio (CPSNR) under MATLAB Programming Environment

机译:在MATLAB编程环境下使用相关峰信噪比(CPSNR)进行结构退化分析的新方法

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A novel way in applying image compression error measurement algorithm using Peak Signal-to Noise Ratio (PSNR) is implemented under MATLAB environment. In this new approach, the structural degradation due to damage change in component composition or the presence of foreign bodies appearing in an image taken for a specific structure is regarded as the noise in an originally good image of the same structure. Such unorthodox approach, which employs MSE and PSNR, has resulted in an excellent way in tracing and modeling damage in structures with ability to predict effects of further damage on components. This resulted in the ability to quality control of produced components and structural composition improvement through the modified image processing assessment algorithm (CPSNR).
机译:在MATLAB环境下,实现了一种应用峰值信噪比(PSNR)的图像压缩误差测量算法的新方法。在这种新方法中,由于针对特定结构拍摄的图像中组件成分的损坏变化或出现异物而导致的结构退化被视为同一结构本来良好的图像中的噪声。这种采用MSE和PSNR的非传统方法,以一种极好的方式来跟踪和建模结构中的损坏,并具有预测部件进一步损坏的能力。通过改进的图像处理评估算法(CPSNR),可以对生产的零件进行质量控制并改善结构成分。

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