| Presentation | 2021-03-04 Study of automatic masking method of locality on the plant specimen image based on the arrangement pattern of the text detection result Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | When plant specimens are published, the locality of endangered species cannot be disclosed. Images with specimen labels describing the collection points must be covered. So far, the text detection network CTPN has been used to detect the text on the sample and try to identify the location of the label, but due to false detection and the influence of characters other than the label, sufficient results have not been obtained. In low-resolution sample photos, it is difficult to directly detect the target to be masked using text recognition after text detection. Therefore, in this study, after performing text detection processing on the sample image, deleting the error detection and arranging the text box according to the characteristics of the plant specimen image, the method of identifying the target to be covered from the arrangement pattern was discussed. The results show that the method is effective. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Plant specimen image / Deep learning / Automatic masking / Text detection / CTPN |
| Paper # | LOIS2020-49 |
| Date of Issue | 2021-02-25 (LOIS) |
| Conference Information | |
| Committee | LOIS |
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| Conference Date | 2021/3/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Toru Kobayashi(Nagasaki Univ.) |
| Vice Chair | Hiroyuki Toda(NTT) |
| Secretary | Hiroyuki Toda(NTT) |
| Assistant | Shigeru Fujimura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Life Intelligence and Office Information Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study of automatic masking method of locality on the plant specimen image based on the arrangement pattern of the text detection result |
| Sub Title (in English) | |
| Keyword(1) | Plant specimen image |
| Keyword(2) | Deep learning |
| Keyword(3) | Automatic masking |
| Keyword(4) | Text detection |
| Keyword(5) | CTPN |
| 1st Author's Name | Depeng Zhang |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Yasuhiko Higaki |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| 3rd Author's Name | Yasuo Sugai |
| 3rd Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2021-03-04 |
| Paper # | LOIS2020-49 |
| Volume (vol) | vol.120 |
| Number (no) | LOIS-417 |
| Page | pp.pp.12-17(LOIS), |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (LOIS) |