| Presentation | 2009-09-24 Botanical database system searched by images Takashi OYABU, Akira ASANO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is difficult to search the name of a flower by the image of a botanical database system. This paper presents a novel botanical database system queried by images using the similarity search. The employed image feature in the color distribution of corollae, since the shape of corollae, which has been used on a feature in conventional researches, is not stable and dependent on photographic directions. The color distribution is depicted as a hue histogram of the corollae obtained by an automatic extraction. The similarity between a key flower and a flower in the database is defined by the cross-correlation. The experimental results show that the system achieves the precision 72%. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Database / image processing / botanical / similarity search |
| Paper # | SIP2009-46,SIS2009-21 |
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| Conference Information | |
| Committee | SIS |
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| Conference Date | 2009/9/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Smart Info-Media Systems (SIS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Botanical database system searched by images |
| Sub Title (in English) | |
| Keyword(1) | Database |
| Keyword(2) | image processing |
| Keyword(3) | botanical |
| Keyword(4) | similarity search |
| 1st Author's Name | Takashi OYABU |
| 1st Author's Affiliation | Graduate school of Engineering, Hiroshima University() |
| 2nd Author's Name | Akira ASANO |
| 2nd Author's Affiliation | Graduate school of Engineering, Hiroshima University |
| Date | 2009-09-24 |
| Paper # | SIP2009-46,SIS2009-21 |
| Volume (vol) | vol.109 |
| Number (no) | 203 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |