A Survey on Image Segmentation through Clustering Algorithm
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



Research Paper | Mathematics | India | Volume 2 Issue 2, February 2013

A Survey on Image Segmentation through Clustering Algorithm

M. Lalitha, M. Kiruthiga, C. Loganathan

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

Edition: Volume 2 Issue 2, February 2013

Pages: 348 - 358

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How to Cite this Article?

M. Lalitha, M. Kiruthiga, C. Loganathan, "A Survey on Image Segmentation through Clustering Algorithm", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSROFF2013034, Volume 2 Issue 2, February 2013, 348 - 358

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