Fuzzy Logic-Based Image Retrieval

10 years 8 months ago
Fuzzy Logic-Based Image Retrieval
This paper imports the fuzzy logic into image retrieval to deal with the vagueness and ambiguity of human judgment of image similarity. Our retrieval system has the following properties: firstly adopting the fuzzy language variables to describe the similarity degree of image features, not the features themselves; secondly making use of the fuzzy inference to instruct the weights assignment among various image features; thirdly expressing the subjectivity of human perceptions by fuzzy rules impliedly; lastly we propose an improvement on the traditional histogram called the Average Area Histogram (AAH) to represent color features. Experimentally we realized a fuzzy logic-based image retrieval system with good retrieval performance.
Xiaoling Wang, Kanglin Xie
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where AWCC
Authors Xiaoling Wang, Kanglin Xie
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