Presentation 2022-12-16
Investigation for the Importance of Brightness Adjustment in Image Recognition for Water Hyacinth Using Semantic Segmentation
Soma Miyamoto, Hiroki Imamura,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Water hyacinth, which is abundant in tropical and temperate regions, causes great damage in various fields such as infrastructure, fisheries and agriculture. Therefore, in this study, we develop a system that can distinguish between water hyacinth and other plants using semantic segmentation in order to remove water hyacinth efficiently. In addition, by adjusting the brightness of the learning image, we aim to achieve more accurate identification without being affected by the weather or other sunlight conditions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Machine Learning / Semantic Segmentation / Water hyacinth
Paper # PRMU2022-49
Date of Issue 2022-12-08 (PRMU)

Conference Information
Committee PRMU
Conference Date 2022/12/15(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Toyama International Conference Center
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Seiichi Uchida(Kyushu Univ.)
Vice Chair Takuya Funatomi(NAIST) / Mitsuru Anpai(Denso IT Lab.)
Secretary Takuya Funatomi(CyberAgent) / Mitsuru Anpai(Univ. of Tokyo)
Assistant Nakamasa Inoue(Tokyo Inst. of Tech.) / Yasutomo Kawanishi(Riken)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Investigation for the Importance of Brightness Adjustment in Image Recognition for Water Hyacinth Using Semantic Segmentation
Sub Title (in English)
Keyword(1) Machine Learning
Keyword(2) Semantic Segmentation
Keyword(3) Water hyacinth
1st Author's Name Soma Miyamoto
1st Author's Affiliation Soka University(Soka Univ.)
2nd Author's Name Hiroki Imamura
2nd Author's Affiliation Soka University(Soka Univ.)
Date 2022-12-16
Paper # PRMU2022-49
Volume (vol) vol.122
Number (no) PRMU-314
Page pp.pp.91-94(PRMU),
#Pages 4
Date of Issue 2022-12-08 (PRMU)