A novel image registration method using multi-resolution based Hough transform is presented in this paper. Hough transform is a classic method for parameter finding, but its huge space complexity and time complexity obstruct its using in image registration. Therefore multi-resolution decomposition is combined to reduce the computation. General Hough transform, which searches parameter in a 4D space, is first used in largest scale level to get initial transform parameters with less control points. After that, Iterative Hough transform, which searches parameter in 2D space, is further utilized in other scale levels in order to achieve more accurate parameters. The proposed method combines the robustness of General Hough transform and the computation efficiency of iterative Hough transform. At the same time, the huge complexity of General Hough transform and fragility of Iterative Hough transform are abstained by multi-resolution decomposition. The experiments also show the performance of proposed method.
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.