Automatic feature matching for image rotation and scaling using MATLAB

This paper investigates the automatic feature matching technology based on the MATLAB platform, focusing on the automatic determination of image rotation and scaling parameters. The method includes key steps such as feature detection, descriptor extraction, matching, and transformation matrix calculation. Through this technology, the system can identify and match key features in images, calculate the necessary rotation and scaling parameters, and correct distorted images. The method is validated through experiments involving various image types and distortion levels, demonstrating high accuracy and robustness. This study contributes to the fields of image analysis, recognition, and visual effects by providing an efficient and reliable approach for image correction.