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 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Kochi University of Technology |
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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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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2009: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2008: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Keywords | ファジィ理論 / 画像検索 / 類似画像 / CBIR / 遺伝的プログラミング / 画像類似度 / 文字認識 |
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| 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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Report
(3 results)
Research Products
(23 results)
