Binocular Image Stitching

This project contains multiple MATLAB (.m) files, with mosaicTest functioning as the main program for stitching two images together. Some bugs were encountered during execution. For detailed code implementation, please continue reading.

The mosaicTest program demonstrates several technical aspects including image selection methods, similarity calculation algorithms between images (potentially using SIFT or SURF feature detection), and edge-handling techniques during stitching operations. The code also includes image resizing and color adjustment functionalities to optimize alignment and blending results. This serves as an excellent reference for image processing and computer vision enthusiasts, showcasing practical implementation of stitching algorithms.

Beyond mosaicTest, additional .m files such as imageStitching and featureMatching provide extended capabilities. These modules implement advanced computer vision techniques - imageStitching likely handles multi-image panorama creation using homography estimation, while featureMatching probably implements keypoint detection and matching algorithms using descriptors like ORB or BRISK. These files constitute valuable resources for deeper exploration of image processing and computer vision concepts.

We hope this code proves useful for your projects. Please feel free to contact us if you have any technical questions or encounter implementation challenges. Thank you!