Howtosignalprocessing
Our image stitching algorithm requires four steps: (1) detecting keypoints and extracting local invariant descriptors; (2) matching descriptors between images; (3) applying RANSAC to estimate the homography matrix; and (4) applying a warping transformation using the homography matrix.
What is image stitching algorithm?
Image stitching algorithms focus on registering, aligning, and blending multiple overlapping images to generate a wide-FOV view. These are mainly divided into two categories: pixel-based methods, and feature-based methods.
Why is image stitching important?
Nowadays, image stitching plays a vital role in digital image processing, making it a popular domain in photographic cartography, computer vision, image processing and computer graphics. It is widely applied in remote sensing, aerospace, virtual reality, medical imaging and so on [3,4,5,6].
