Presentation | 2022-03-03 A Study on Automatic Segmentation Method for Plant Specimen Images Using U-Net 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) | the image processing required to digitize images of plant specimens. Digitized images of plant specimens are very diverse and contain visual noise and undisclosed information. As a pre-processing step for downstream deep learning applications, systematic removal of noise and segmentation of plant bodies is required. In this study, we developed a workflow that uses deep learning to segment and remove background from plant bodies in plant specimen images. A combination of automatic and manual tools was used to generate ground truth masks, train U-Net, and automatically segment the specimen images with good results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Plant specimen image / Deep learning / Automatic segmentation / U-Net |
Paper # | LOIS2021-47 |
Date of Issue | 2022-02-24 (LOIS) |
Conference Information | |
Committee | LOIS |
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Conference Date | 2022/3/3(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(Nagasaki Univ.) |
Assistant | Kazuki Fukae(Nagasaki Univ.) |
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) | A Study on Automatic Segmentation Method for Plant Specimen Images Using U-Net |
Sub Title (in English) | |
Keyword(1) | Plant specimen image |
Keyword(2) | Deep learning |
Keyword(3) | Automatic segmentation |
Keyword(4) | U-Net |
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 | 2022-03-03 |
Paper # | LOIS2021-47 |
Volume (vol) | vol.121 |
Number (no) | LOIS-401 |
Page | pp.pp.45-50(LOIS), |
#Pages | 6 |
Date of Issue | 2022-02-24 (LOIS) |