In diagnosing lung diseases using x-ray images of a human thorax, there is a huge risk of error in detecting abnormalities
of the lung. This may be caused by geometric differences in the images that are being compared. To minimize the
possible errors, a system is proposed to assist in the diagnosis process. In implementing this system, a registration
process of the images is required as the first step in minimizing the human errors. A feature based method is used to
solve the registration of images by using a scale invariant feature transform (SIFT) as the method of feature extraction.
Using this feature based method is hoped to result in a better registration than the area based method that was previously
used.
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.