MATLAB Code Implementation for Optical Flow Field Computation

I have developed a gradient-based MATLAB program for computing optical flow fields. The program utilizes gradient methods from image processing, implementing a fundamental optical flow algorithm that calculates motion vectors between consecutive image frames. Key implementation aspects include spatial and temporal gradient computations using central difference operators, followed by solving the optical flow constraint equation through least-squares minimization. The program features a modular structure with essential functions for image preprocessing, gradient calculation, and vector field visualization. It employs MATLAB's built-in image processing toolbox for efficient gradient computation and matrix operations. Users can easily modify parameters such as window size for local flow estimation and regularization terms for improved stability. This implementation is designed for easy utilization, making it suitable for both beginners learning optical flow concepts and professionals requiring quick prototyping. The code includes comprehensive comments explaining each computational step and error handling for various input conditions. You can test the program with different image sequences to evaluate its performance characteristics, including computational efficiency and accuracy under varying motion conditions and noise levels.