Multivariate image segmentation based on geometrically guided fuzzy C‐means clustering

This paper describes a new approach to geometrically guided fuzzy clustering. A modified version of fuzzy C‐means (FCM) clustering, conditional FCM, is extended to incorporate a priori geometrical information from the spatial domain in order to improve image segmentation. This leads to a new algorithm (GGC‐FCM) where the cluster guidance is determined by the membership values of neighbouring pixels. GGC‐FCM is tested on synthetic and real images to demonstrate the improved image segmentation compared to traditional FCM.