A Multi-layer Data Model for Image Retrieval Based on Fuzzy Features
نویسندگان
چکیده
Content-based image retrieval is one of the main research directions in information retrieval and digital library. However, the low-level image features used in traditional content-based image systems lack of semantics meanings of users. In this paper, we propose a multi-layer image data model to combine the low-level image features and high-level linguistic meanings. We analyze and represent an image as fuzzy features including fuzzy colors, fuzzy shapes and fuzzy spatial relationships. Then the linguistic fuzzy concept is used to measure the similarity of image features. Through the descriptions of fuzzy linguistic image features, the semantic relevant images can be retrieved. Further, based on the fuzzy features, we also present a new method of relevance feedback to improve the effectiveness of image retrieval. Key-Words: Image database, image retrieval, multi-layer, data model, fuzzy feature, similarity matching
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