Explore MATLAB source code curated for "性能评价" with clean implementations, documentation, and examples.
Signal extraction is a crucial technique in signal processing, where correlation coefficients serve as an effective performance evaluation metric for assessing the similarity between extracted and original signals, with implementation typically involving numerical computation functions.
To objectively and quantitatively evaluate the performance of various fusion methods in multi-focus image fusion, this study analyzes images based on their statistical characteristics. Without reference standard images, four key parameters are selected for comprehensive assessment: average gradient (sharpness), spatial frequency, information entropy, and standard deviation, which collectively measure fusion method performance and can be implemented through computational algorithms.