Abstract
mage segmentation is an important part in image recognition systems and it has been successfully used in various fields such as medical imaging, finger ridge, retina, and face recognition, etc. In this paper, we are proposing a novel hybrid method for image segmentation to segment all constituent objects of the image under consideration using combination of fuzzy c-means (FCM) and boundary tracking mathematical modeling technique named level set method (LSM). In the proposed method, a contour is obtained by FCM method which serves as initial contour for improved LSM Method. Finally, experimental results validate the effectiveness of the proposed combined method for image segmentation.
