Explore MATLAB source code curated for "指标" with clean implementations, documentation, and examples.
After completing image segmentation tasks, performance evaluation of segmentation results is essential, typically using IOU (Intersection over Union) and False Positive Rate as key metrics with code implementation insights for practical applications.
FIR Filter Design: Customize filter type (low-pass, high-pass, or band-pass) and specifications (passband cutoff frequency, passband ripple, stopband cutoff frequency, stopband attenuation), select appropriate window functions based on specifications, design FIR filters using the window design method, and validate performance against predetermined specifications through MATLAB code implementation.
Key metrics for measuring image denoising and SAR image despeckling effectiveness, including PSNR (Peak Signal-to-Noise Ratio), SNR (Signal-to-Noise Ratio), and ENL (Equivalent Number of Looks) with code implementation insights
Principal Component Analysis (PCA) is a statistical analysis method that transforms multiple indicators into a few comprehensive indicators. This source code provides MATLAB implementation with detailed analytical annotations, including algorithm explanations and key function descriptions for data dimensionality reduction.