2009 Fiscal Year Final Research Report
Image similarity generation using fuzzy logical operators and aggregation operators
Project/Area Number |
20700218
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Sensitivity informatics/Soft computing
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Research Institution | Kochi University of Technology |
Principal Investigator |
YOSHIDA Shinichi Kochi University of Technology, 工学部, 講師 (30334519)
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Project Period (FY) |
2008 – 2009
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Keywords | ファジィ理論 |
Research Abstract |
Recent development of digital camera technology have made the amount of image data quite large. We are difficult to classify and retrieve appropriate image data from the large image database. We develop the similarity function among images in order to improve the performance of conventional image retrieval technology. We also constructed the visual key image retrieval system using proposed similarity function and the experimental result shows the precision and recall of the retrieved image improve than those of conventional system.
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[Remarks] 吉田真一, トロピカル代数, 知能と情報(日本知能情報ファジィ学会誌), Vol. 21 No. 3, p. 370, 2009
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[Remarks] 吉田真一, 補間型ファジィ推論法, 知能と情報(日本知能情報ファジィ学会誌), Vol. 20 No. 3, p. 335, 2008