MATLAB Image Stitching: Techniques and Implementation
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In this document, we will explore how to perform image stitching using MATLAB. Image stitching is an engaging and practical technique that combines multiple images into a larger composite image. Through image stitching, we can create panoramic views, generate high-resolution images, and perform image restoration tasks. This article covers the fundamental principles and procedural steps of image stitching, accompanied by illustrative code examples and technical tips to enhance your understanding and application of this technology. The implementation typically involves key MATLAB functions such as detectSURFFeatures() for feature extraction, matchFeatures() for establishing correspondences, and estimateGeometricTransform() for aligning images. We'll also discuss blending techniques using imwarp() and alphaBlender() to create seamless transitions between stitched images. Let's begin our exploration!
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