Abstract
Pre-specified number of categories, the initial classification center is one of the issues cannot be avoided to clustering-based image segmentation algorithm. In view of this, this paper presents Adaptive Affinity Propagation (AAP) clustering image segmentation algorithm. It adaptively calculates preference in Affinity Propagation clustering using the integral characteristic of image and applies this method to image segmentation. The results of experiments demonstrated that the new method segments image more accurate than classical K-Means and FCM clustering method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DEStech Transactions on Computer Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
