Auto-Focusing Functions Based on Gray Gradient
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Resource Overview
This MATLAB code was developed for my graduation project's auto-focus simulation experiments, implementing comprehensive simulations of gray gradient-based focus evaluation functions
Detailed Documentation
This MATLAB code was created during my graduation project for simulating automatic focusing experiments, specifically designed to implement and test focus evaluation functions based on gray gradient analysis. The code has undergone multiple optimizations and incorporates various advanced algorithms and techniques, including adaptive threshold segmentation for dynamic image processing and morphological filtering for noise reduction and feature enhancement. Throughout the development process, I conducted extensive literature review and experimental investigations to ensure the code's accuracy and reliability. The implementation includes key focus evaluation metrics such as gradient magnitude calculations, Sobel operators for edge detection, and focus measure computations using variance of gradients. Additionally, I have provided comprehensive code annotations and documentation to facilitate better understanding and utilization by other researchers and developers. The code structure follows modular design principles, with separate functions for image preprocessing, focus measurement, and result visualization, making it easily adaptable for different imaging applications.
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