Partitioned Based Image Segmentation

The aim of this paper is to provide a comprehensive survey of image segmentation method using clustering techniques. In image processing, segmentation plays an important role in the detection and matching of objects. Image segmentation uses number of techniques to find the correct segmented images. Clustering techniques are one such methods used for the segmentation of images. It is the process by the pixels of an image are divided into different partitions on the basis of similarity criteria. This paper presents recent development in image segmentation by using the clustering-based approaches such as K-Means and Fuzzy C-Means.