IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 3 Issue 1 Computer science and engineering English January - February 2015 N N Y 2019 11 28 Computer Sciences Performance Analysis of Image Segmentation Using Parallel Processing English Y 57 63 Supriya Gupta English Y Mujeeb Rahman English N This paper presents a study on Fuzzy C Means (FCM) based segmentation technique via different modes over a number of images. This research work includes development of simulation models in both sequential and parallel modes. The proposed FCM based segmentation method is tested extensively by subjective and objective evaluation via both modes. Various image and performance parameters are evaluated such as serial time, parallel time, overheads, efficiency, MMSE, PSNR and Percentage of Tumour. The results show that leveraging of multi-core platforms can speed up the processing of images considerably through the use of parallel computing tools in MATLAB. The parameters like PSNR, MMSE, and image quality have not been compromised while increasing the time efficiency through parallel mode. This information can be utilized in the fields where real time processing of image data is required. English Fuzzy C-Means, Comparison, Segmentation, Parallel Techniques https://ijircst.org/abstract.php?article_id=144