Lung Nodule Segmentation through Unsupervised Clustering Models

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 Possibilistic Clustering models, Fuzzy Clustering models and a new approach called Possibilistic-Fuzzy based clustering model are discussed. Experiments are carried out on bench mark medical images to examine the performance of the above techniques. The results are compared with various validation measures to explore the accuracy of our proposed approach.