Image Overlay in MATLAB

This code is designed for image overlay operations in MATLAB, with practical applications primarily in panoramic image creation. Image overlay is a common technique in computer vision and image processing fields, enabling the combination of multiple images to create richer and more complex visual effects. In panoramic imaging applications, the overlay process typically involves feature detection algorithms like SIFT or SURF to identify keypoints, followed by homography matrix calculation for precise alignment. This allows stitching images captured from different angles or positions to form more complete and realistic panoramic views. The implementation may utilize MATLAB's Image Processing Toolbox functions such as imfuse() for basic blending or custom workflows with detectSURFFeatures() and estimateGeometricTransform() for advanced stitching. Such techniques find extensive applications in virtual reality, game development, and film production industries. Therefore, understanding and mastering MATLAB-based image overlay code is crucial, particularly for individuals interested in image processing and computer vision, as it involves fundamental concepts like spatial transformations, histogram matching, and seam blending algorithms.