MATLAB-Based MTF Calculation Tool with Excel Data Support

Multiple methodologies exist for computing MTF values, with a widely-adopted approach utilizing a MATLAB program that processes Excel files as input data sources. The implementation typically involves importing spreadsheet data using MATLAB's readtable() or xlsread() functions, followed by Fourier transform operations to analyze spatial frequency responses. Key algorithmic components may include edge detection algorithms (e.g., Sobel or Canny operators) for slanted-edge method implementations, and Hamming window functions for frequency domain analysis. The program's modular architecture allows customization of critical parameters such as region-of-interest selection, oversampling ratios, and noise threshold settings through configuration files or GUI interfaces. Data quality validation routines should be incorporated to check for consistency in input datasets, potentially including outlier detection using statistical methods like Z-score analysis. For enhanced reliability, preliminary data preprocessing steps may involve normalization procedures and artifact removal through median filtering before performing the core MTF calculation algorithm based on ISO 12233 standards.