FMR is an acronym that stands for Fourier-Mellin Transform Registration. The term is typically used in the fields of image processing and computer vision. The Fourier-Mellin Transform is a mathematical technique used for image registration, which involves aligning and comparing two or more images to determine their similarity or differences.
FMR utilizes the Fourier-Mellin Transform to achieve image registration. This process involves transforming the spatial domain of an image into the frequency domain using the Fourier Transform. The transformed image is then rotated, scaled, and compared to a reference image using the Mellin Transform, which maps the transformed image to its polar coordinates. By performing the Fourier-Mellin Transform, FMR is able to determine the translation, rotation, and scale factors between images, enabling reliable registration and alignment.
FMR has various applications in image processing and computer vision. It is commonly used in tasks such as image recognition, medical image analysis, object tracking, and image stitching. By accurately registering images, FMR facilitates tasks like image fusion, image overlay, and image matching. This technique has wide-ranging implications in fields such as remote sensing, robotics, satellite imaging, and medical diagnostics.
Overall, FMR, or Fourier-Mellin Transform Registration, is a valuable tool in image processing and computer vision that utilizes mathematical transforms to align and compare images, enabling numerous applications in various domains.
