Paper Title :Automatic Image Registration based Control Points and Evaluation
Author :Heung-Kook Choi, Boo-Kyeong Choi, Jae-Hong So, Nuwan Madusanka
Article Citation :Heung-Kook Choi ,Boo-Kyeong Choi ,Jae-Hong So ,Nuwan Madusanka ,
(2017 ) " Automatic Image Registration based Control Points and Evaluation " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 31-35,
Volume-5,Issue-12
Abstract : In this paper, we present a fully automatic image registration method, applied to a pilot study. Image registration
plays an important role to the medical image field for the patient prognosis and diagnosis. Particularly image standardization
and image correlation could be the most significant studies. Therefore, we have created several feasible two dimensional color
training images with the objects having different major axes and sizes. The training images were rotated, translated, scaled and
sheared. Consequently, we calculated the registered correction by the minimum squared error(MSE) of the between control
points distances and object sizes. Then, we obtained a valuable result (>0.04). It could be useful to biomedical image
registration.
Index Terms - Automatic image registration, control points, standardization, color training images, registered correction,
minimum squared error
Type : Research paper
Published : Volume-5,Issue-12
Copyright: © Institute of Research and Journals
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Published on 2018-02-08 |
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