Fuzzy Clustering Paradigm and the Shape-Based Image Retrieval

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This paper presents a strategy for shape-based image retrieval in which moment invariants form a feature vector to describe the shape of an object. Fuzzy k-means clustering is used to group similar images in an image collection into k-clusters whereas neural network is used to facilitate efficient retrieval of similar images against a given user-provided query image. Retrieval results and performance of the proposed scheme are compared with a setup involving k-means clustering.