Image mosaic technology spatially aligns and matches a sequence of images with overlapping areas, then performs resampling and synthesis to create a complete, high-resolution panoramic image containing information from all input images. This technology has extensive applications in photogrammetry, computer vision, remote sensing image processing, medical image analysis, and computer graphics. The image mosaic process typically consists of three key steps: image acquisition, image registration (alignment), and image blending/synthesis, where image registration serves as the fundamental component. This paper investigates two distinct image registration algorithms: feature-based registration and transform-domain-based registration, with implementation considerations for feature detection, matching, and transformation estimation.
MATLAB
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