Abstract

This paper proposes a novel image retrieval method based-on Formal Concept Analysis which makes a faster retrieval in image database. First extract a set of candidate classes for the query using the membership function of fuzzy mathematic. Based-on FCA, each query is represented by an individual concept lattice. Through concept match to decide how similar the nodes in a query concept lattice are to the nodes in an image concept lattice of candidate classes. Output the images ordered by the similarity degree. The time needed for returning retrieval results and effectiveness of our method is demonstrated with experimental results on image collections.

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