With the popularization of multicore CPU, it will be the trend of CPU and be used in lots of applications. This paper
proposed a multicore-based parallelized registration algorithm, which is derived from the image registration based on
different evolution. This proposed algorithm takes full advantage of the parallel ability of multicore CPU, thus it
accomplishes the parallel evolution algorithm on graphic workstation, which traditionally works on supercomputer, and
realizes the multicore-based parallelized fast medical image registration. The experimental results show that, the
proposed algorithm has no difference in precision and stability with traditional image registration based on differential
evolution, and exhibits fast convergence and a speedup almost growing linearly with the number of kernels.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.