| Presentation | 2019-10-10 Segnet and U-Net Implementations for Water Hyacinth Semantic Segmentation in Thailand Supatta Viriyavisuthisakul, Parinya Sanguansat, Toshihiko Yamasaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Water Hyacinth is an aquatic weed that can spread very quickly. Normally, it can be found in a dam or river. Water Hyacinth is one of the main problems in irrigation management, water transportation, and agriculture. That makes it is one of the national problems, especially Thailand. To plan the solution for this problem, quantitative measurement of Water Hyacinth in many areas is required. Semantic segmentation with deep learning is very accurate now, and it can be used in this task. In this paper, the semantic segmentation is applied to segment the Water Hyacinth in the images. Segnet and U-Net were compared. Both of them use convolutional layers but in different architectures. With our limited resources, we found that U-Net is more suitable in this task than Segnet in both computational time and performance. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Water Hyacinth / Semantic Segmentation / Segnet / U-Net |
| Paper # | MVE2019-25 |
| Date of Issue | 2019-10-03 (MVE) |
| Conference Information | |
| Committee | MVE |
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| Conference Date | 2019/10/10(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kenji Mase(Nagoya Univ.) |
| Vice Chair | Masayuki Ihara(NTT) |
| Secretary | Masayuki Ihara(Nagoya Univ.) |
| Assistant | Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT) / Shogo Fukushima(Univ. of ToKyo) |
| Paper Information | |
| Registration To | Technical Committee on Media Experience and Virtual Environment |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Segnet and U-Net Implementations for Water Hyacinth Semantic Segmentation in Thailand |
| Sub Title (in English) | |
| Keyword(1) | Water Hyacinth |
| Keyword(2) | Semantic Segmentation |
| Keyword(3) | Segnet |
| Keyword(4) | U-Net |
| 1st Author's Name | Supatta Viriyavisuthisakul |
| 1st Author's Affiliation | Panyapiwat Institute of Management(PIM) |
| 2nd Author's Name | Parinya Sanguansat |
| 2nd Author's Affiliation | Panyapiwat Institute of Management(PIM) |
| 3rd Author's Name | Toshihiko Yamasaki |
| 3rd Author's Affiliation | The University of Tokyo(UTokyo) |
| Date | 2019-10-10 |
| Paper # | MVE2019-25 |
| Volume (vol) | vol.119 |
| Number (no) | MVE-222 |
| Page | pp.pp.9-12(MVE), |
| #Pages | 4 |
| Date of Issue | 2019-10-03 (MVE) |