  Image processing is an important research area in computer vision. Image
segmentation plays the vital rule in image processing research. There exist so
many methods for image segmentation. Clustering is an unsupervised study.
Clustering can also be used for image segmentation. In this paper, an in-depth
study is done on different clustering techniques that can be used for image
segmentation with their pros and cons. An experiment for color image
segmentation based on clustering with K-Means algorithm is performed to observe
the accuracy of clustering technique for the segmentation purpose.
