
doi: 10.1109/99.641607
To carefully compare pictures of the same thing taken from different views, the images must first be registered, or aligned so as to best superimpose them. Results show that two geometric hashing methods, based respectively on curves and characteristic features, can be used to compute 3D transformations that automatically register medical images of the same patient in a practical, fast, accurate, and reliable manner.
Ultrasonic imaging, Medical diagnostic imaging, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, X-ray imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Optical imaging, Magnetic resonance imaging, Anatomical structure, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Biomedical imaging, Pixel, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Computed tomography, Image registration, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Ultrasonic imaging, Medical diagnostic imaging, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, X-ray imaging, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Optical imaging, Magnetic resonance imaging, Anatomical structure, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Biomedical imaging, Pixel, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Computed tomography, Image registration, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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