Lungs image segmentation through weighted FCM

Image processing is an essential technique for analyzing images. The important part of image processing is image segmentation. Segmentation is a task of grouping pixels based on similarity. In medical image analysis, segmentation is very important phase. In this paper standard FCM and weighted FCM segmentation algorithms are discussed. Experiments are carried out on LIDC medical images to examine the performance of the standard FCM and the proposed weighted FCM technique. The results are compared with various validation measures to explore the accuracy of our proposed approach.