Analysis on fuzzy membership functions for image segmentation using ultrafuzziness

Vol.7 No.1

Year: 2012

Issue: July-September

Title: Analysis on fuzzy membership functions for image segmentation using ultrafuzziness   

Author Name: seetharama prasad, Kolluri Raju , Ch Venkata Narayana   

Synopsis:   

In this paper, a study on  fuzzy membership functions   for image segmentation using ultrafuzziness is conducted. In this work, Tizhoosh membership function which is totally supervised, Huang & Wang membership function and S-function are   considered. This work is an improvement of an existing work of Tizhoosh. Each membership function has its own merits and demerits in the computation process.  Using fuzzy logic concepts, the problems involved in finding the minimum/maximum of a entropy criterion function are avoided. We attempt to make it clear that identifying the better membership function to assign the fuzzy membership grade to every pixel in the image, for optimum image segmentation using ultrafuzziness. For low contrast images contrast enhancement is assumed. Experimental results demonstrate a quantitative improvement with S-function over other two other functions.