A Novel Brain Tumor Detection With Modified Fuzzy Clustering Technique
In this paper presents a new approach for Brain tumor detection with Fuzzy C-means algorithm. The proposed
segmentation processes includes new morphological mechanism for clustering the high resolution elements of images in
order to reduce the computation time, and improves the precision. The existing K-means clustering algorithms consumes
time and providing low accuracy, to overcome these problems in this paper we proposed an optimized Fuzzy C-means
algorithm. This algorithm is able to optimize the K-means clustering for image segmentation. This paper evaluates the
proposed approach for image segmentation by comparing the state-of-art of the methods. The proposed simulation results are
to clarify the effectiveness of our approach to improve the quality of segmentation.
Keywords- Image segmentation, FCM, Color Spaces.