Optimized Clustering Algorithm for Content-Based Image Retrieval

Abstract

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.