Some Remarks on FCMLS and Its Application to Natural Fruit Image Segmentation

It is well known that fuzzy clustering and level set are two important tools for image segmentation. The former focuses on analyzing the statistical characteristics of image features, while the latter aims to acquire the good geometrical continuity of segmentation boundaries. Obviously, two kinds of methods may complement each other. Inspired by this idea, a new level set model integrated with fuzzy c-means (FCM) clustering FCMLS has been presented in our previous studies. Compared with FCM and original level set methods, some remarkable characteristics and better performance have been demonstrated. In this paper, some further works are reported, mainly including the detailed analysis on the convergence of FCMLS, multiregional FCMLS, and the application to natural fruit image segmentation. Corresponding research results assert that FCMLS has good stable convergence, ant is very valuable to natural fruit image segmentation.