Unsupervised Segmentation using Map-ML Estimation
Ms. S. Tamil Selvi, S. Antelin Vijila, M. Mohammed Ashiqa · CiiT international journal of biometrics and bioinformatics · 2012
Segmentation is an important problem of Image processing. It has attracted much attention due to its potential value for applications and its theoretical challenges. In this proposed System MAP-ML estimation is used to segment the objects in the images, The Proposed Method contains a Graph cut Algorithm to overcome computation complexity and over segmentation. This is an unsupervised algorithm which automatically segments the given input image into regions according to relevant texture and colors.