MATLAB Fusion Toolbox Implementation with Multiple Image Fusion Algorithms

In this section, I would like to provide additional technical details about the Fusion Toolbox. This toolbox serves as a highly practical resource containing MATLAB source code implementations for multiple image fusion algorithms. The implemented algorithms cover pixel-level fusion, feature-level fusion, and decision-level fusion methodologies, among others. Through the Fusion Toolbox, users can conveniently perform image fusion simulations while having the flexibility to customize parameters and adjust algorithm settings to achieve optimal fusion results. The main interface is designed with intuitive controls and straightforward navigation, making it accessible even for users without programming experience. The toolbox's implementation includes core functions for image preprocessing, fusion rule optimization, and result evaluation metrics. Key MATLAB functions such as imread() for image input, wavelet transforms for multi-resolution analysis, and entropy calculations for fusion quality assessment are systematically integrated. The toolbox's ease of use enables rapid implementation of image fusion tasks while meeting requirements across various application domains. Overall, the Fusion Toolbox represents a robust and efficient solution particularly suitable for image fusion-related research and development projects.