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A Survey on Image Segmentation through Clustering Algorithm

Journal: International Journal of Science and Research (IJSR) (Vol.2, No. 2)

Publication Date:

Authors : ; ; ;

Page : 348-358

Keywords : Clustering; Image segmentation; Hierarchical; K-means; Spectral Clustering; Histogram-based;

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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.

Last modified: 2021-06-30 20:12:44