Abstract
Segmentation of brain images based on Magnetic Resonance (MR) is used to segment and analyse the slices of brain to indicate the presence of tumour. Region of interest (ROI) extract is used to select the exact spot in an image where the tumour is present. Primary area of interest (tumour region) is chosen by the algorithm. The chosen region is completely extracted out from the input image.Fuzzy c-means algorithm is a soft clustering method in which the data elements (pixel values) are divided and clustered into two or more clusters. FCM is carried out by clustering the similar pixel values into one cluster and dissimilar pixel values into another cluster. A comparison is carried out between these two algorithms with the help of parameters such as Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), segmentation accuracy, Jaccard index, computational time and memory requirement for processing the algorithm. The efficiency of either algorithm is proved using the comparison parameters
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: international journal of engineering trends and technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
