Optimized Clustering Algorithm for Content-Based Image Retrieval

Dr. A.V. Senthil Kumar, Dr. Ibrahiem El Emary,J.Sivakami, Dr.Adnan Alrabea


Content-Based Image Retrieval (CBIR), is mainly based on finding images of interest from a large image database using the visual content of the images. Most of the approaches to image retrieval were text-based, where individual images had to be annotated with format. Existing works are based on the performance of a number of clustering algorithms in image retrieval has been analyzed. The proposed work in this paper is viewed on a new fuzzy based c-means partitional clustering algorithm. Partitional clustering algorithm is used to improve the Content Based Image Retrieval and for comparing the performance of the image content.

Keywords: Clustering, Partitional algorithm, CBIR, Fuzzy C-means.

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DOI: https://doi.org/10.26483/ijarcs.v3i2.1065


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