| International Journal of Computer Applications | 
| Foundation of Computer Science (FCS), NY, USA | 
| Volume 59 - Number 5 | 
| Year of Publication: 2012 | 
| Authors: Neelofar Sohi, Lakhwinder Kaur, Savita Gupta | 
                         
                        
                        10.5120/9547-4000
                     | 
                
Neelofar Sohi, Lakhwinder Kaur, Savita Gupta . Performance Improvement of Fuzzy C-mean Algorithm for Tumor Extraction in MR Brain Images. International Journal of Computer Applications. 59, 5 ( December 2012), 40-45. DOI=10.5120/9547-4000
Aim of this paper is to develop an efficient fuzzy c-mean based segmentation algorithm to extract tumor region from MR brain images. First, cluster centroids are initialized through data analysis of tumor region, which optimizes the standard fuzzy c-mean algorithm. Next, reconstruction based morphological operations are applied to enhance its performance for brain tumor extraction. The results show that simple fuzzy c-mean could not segment the region of interest properly, whereas enhanced algorithm effectively extracts the tumor region. From comparison with existing segmentation methods, enhanced fuzzy c-mean algorithm emerges as the most effective algorithm for extracting region of interest.