A Survey on Image Segmentation through Clustering Algorithm
Abstract: The goal of this survey on different clustering techniques is to achieve image segmentation. Clustering can be termed here as a grouping of similar images. The purpose of clustering is to get meaningful result, effective storage and fast retrieval in various areas. The goal is to provide a self-contained review of the concepts and the mathematics underlying clustering techniques. Then the clustering methods are presented, divided into: hierarchical, partitioning, density-based, model-based, grid-based, and soft-computing methods. The goal of this survey is to provide a comprehensive review of different clustering and image segmentation techniques. Due to the importance of image segmentation and clustering a number of algorithms have been proposed but based on the image that is inputted the algorithm should be chosen to get the best results.
Keywords: Clustering, Image segmentation, Hierarchical, K-means, Spectral Clustering, Histogram-based
How to Cite?: M. Lalitha, M. Kiruthiga, C. Loganathan, "A Survey on Image Segmentation through Clustering Algorithm", Volume 2 Issue 2, February 2013, International Journal of Science and Research (IJSR), Pages: 348-358, https://www.ijsr.net/getabstract.php?paperid=IJSROFF2013034, DOI: https://dx.doi.org/10.21275/IJSROFF2013034