Image segmentation and region matching is the mainly issues of Region-Based Image Retrieval. In this paper we
proposed adaptive image segmentation based on affinity propagation clustering (AAPSEG) and weighted region
matching (WRM), APPSEG method calculated preference in Affinity Propagation clustering (AP) adaptively, and
applied Adaptive Affinity Propagation clustering to nature image segmentation. WRM computed the weight between
regions by location, size etc. It increased the influence of main region and decreased the secondary region. The Modified
Hausdorff distance which was used to calculate similarity between quire image and candidate images effectively solved
the problem of region matching in RBIR. The results of experiments demonstrated that the new method obviously
improved precision in RBIR.
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.