A Survey on Clustering Algorithms used to Perform Image Segmentation

The goal of this survey is to use different Clustering techniques to perform image segmentation. Clustering means grouping of images which share some common attributes. The purpose of clustering is to get meaningful result, effective storage and fast retrieval in various areas. The clustering methods are mainly divided into: hierarchical, partitioning, densitybased, model-based, grid-based, and soft-computing methods. The goal of this survey is to provide a comprehensive review of different clustering techniques. There are number of clustering algorithms proposed to perform image segmentation. One needs to choose the best algorithm among them by analyzing the nature of the input image in order to get optimal results.