AAP: An Adaptive Image Segmentation Algorithm Based on AP Clustering

He-qun QIANG, Sheng-rong GONG, Chun-hua QIAN

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.

Keywords


Image segmentation, Affinity propagation clustering, K-Means, FCM


DOI
10.12783/dtcse/aita2017/15994

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