Performance Analysis of Image Segmentation Using Parallel Processing
Supriya Gupta , Mujeeb Rahman
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.
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[Supriya Gupta , Mujeeb Rahman (2015), Performance Analysis of Image Segmentation Using Parallel Processing, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-3, Issue-1, Page No-57-63], (ISSN 2347 - 5552). www.ijircst.org
Computer science and engineering, RTMNU University/ St. Vincent Pallotti College of engg. And technology/, Nagpur, India,