Cylindrical Panoramic Stitching Algorithm for 360° Image Sequences

This MATLAB-based simulation program implements a cylindrical panoramic stitching algorithm for 360° image sequences, capable of merging multiple images into a complete panoramic image. The algorithm employs cylindrical projection transformation to convert input images into a unified coordinate system, followed by feature detection and matching techniques (such as SIFT or SURF) to establish correspondences between overlapping regions. Key functions include image preprocessing for normalization, cylindrical projection using geometric transformation matrices, and advanced blending methods like multiband blending or linear feathering to minimize seam visibility. The program offers adjustable parameters for projection radius, blending width, and feature matching thresholds, allowing customization for different imaging scenarios. Additional modules provide image enhancement and post-processing capabilities, including color correction and histogram matching, to improve final panorama quality. This comprehensive toolkit facilitates efficient research and experimentation in panoramic image stitching, supporting academic studies and practical applications in computer vision and computational photography.