MATLAB Program for Ellipse Fitting of Planar Points Using Least Squares Method as Criterion

This program serves as a practical tool for ellipse fitting of planar point data. It implements the least squares method to evaluate point fitting errors and provides sample data points for immediate testing. The core algorithm minimizes the sum of squared algebraic distances between the input points and the target ellipse equation. Users can easily substitute their own point datasets by replacing the existing data points. The implementation features a clear MATLAB code structure with comprehensive comments, making it particularly suitable for beginners learning curve fitting techniques. For image processing applications, the program demonstrates excellent performance in elliptical boundary fitting tasks. Key features include: - Least squares optimization for ellipse parameter estimation - Flexible data input system allowing easy data replacement - Basic visualization capabilities for fitted results - Straightforward implementation using fundamental MATLAB operations The program provides detailed usage instructions to ensure smooth adoption. Beyond basic ellipse fitting, it includes supplementary functionalities such as data visualization tools. This tool proves particularly valuable for image analysis professionals requiring reliable elliptical boundary detection and fitting capabilities.