Explore MATLAB source code curated for "评价" with clean implementations, documentation, and examples.
This ROC curve implementation for energy detection is highly practical. While many existing solutions may not meet your specific requirements, this implementation offers a robust approach with clear code structure. If you find it useful, positive feedback would be greatly appreciated.
A quantitative analysis method for evaluating factors and supporting decision-making algorithms by measuring relational degrees between data sequences
This algorithm evaluates image clarity by statistically analyzing grayscale variations along the edge normal direction. Sharper grayscale transitions correspond to clearer edges and higher overall image definition. Implementation involves pixel-wise gradient calculation and directional intensity profiling for quantitative edge assessment.
Image Fusion: Integration of CT and MR images using multiple fusion criteria, followed by comprehensive evaluation of the fused results with implementation insights for medical imaging applications.
Source code for RBF neural network evaluation model developed for the 2012 "Higher Education Cup" Mathematical Contest in Modeling wine quality assessment, including corresponding datasets and classical data preprocessing methods
No-reference JPEG2000 compressed image quality evaluation code providing accurate assessment without requiring original reference images
Code for evaluating image segmentation algorithm performance, including a Word document explaining the methodology and listing specific references. The implementation covers key metrics calculation and validation techniques.
This MATLAB function evaluates the performance of image fusion algorithms by analyzing two original input images and their fused output, generating quantitative metrics to assess fusion quality and effectiveness.
Provides MATLAB/Python code implementations for calculating segmental Signal-to-Noise Ratio (segSNR) and Itakura-Saito (IS) distance metrics, designed for evaluating speech enhancement algorithms with detailed parameter explanations and usage examples.
MATLAB implementation of remote sensing image classification (source code + sample images) with post-classification evaluation including overall accuracy, Kappa coefficient, and confusion matrix analysis.