Digital technology has made tremendous revolution in health care analytics. It includes electronic health record, medical imaging, remote patient monitoring and bioinformatics. This paper focuses on medical imaging analysis using soft computing techniques. Magnetic resonance imaging (MRI) is an advanced and quality medical imaging technique compared to X-ray furnishes rich information on the human soft tissue anatomy. Soft computing techniques like K-means and Fuzzy C means (FCM) is applied to analyze the geometric characteristics of brain tumor images, and has been applied widely to many applications such as image detection, image segmentation, image reduction and so on. Image Segmentation is done to extract meaningful features and performing analysis based on segmentation of images using K means clustering. Image reduction is done for fast processing of images using FCM technique. The proposed system can be widely used for treatment of brain tumor using medical image processing.