Image Stitching Using Grid Matching
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
This MATLAB implementation features a grid-matching algorithm for image stitching that combines multiple images into a seamless composite. The core algorithm dynamically calculates grid dimensions according to input image sizes, ensuring precise feature alignment across image boundaries. Key implementation aspects include: 1) Adaptive grid partitioning using size-responsive calculations, 2) Feature point detection and matching within grid cells, 3) Homography matrix estimation for spatial transformation. The workflow involves preprocessing images, establishing grid structures, performing local feature matching, and blending images using weighted averaging techniques. Through parameter optimization and multiresolution approaches, the algorithm achieves seamless transitions while maintaining geometric consistency, enabling creation of high-quality panoramic images from multiple source images.
- Login to Download
- 1 Credits