著者

矢羽田 彩乃 北川 雄一 大窪 歩 大久保 喬平 曽我 公平 大島 朋子 竹村 裕

出版者

一般社団法人 日本機械学会

雑誌

ロボティクス・メカトロニクス講演会講演概要集 2020 (ISSN:24243124)

巻号頁・発行日

pp.2P1-F12, 2020 (Released:2020-11-25)

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This study shows the possibility of plaque detection by near-infrared hyper spectrum imaging (NIR-HSI) and machine learning without plaque stain. While the plaque stain shows where the plaque is, the plaque stain leaves color and may cause anaphylaxis. Near-infrared images are obtained from the plaque cultured teeth by NIR-HSI. RGB images of stained teeth are obtained and superimposed on the near-infrared image. The G channel of the RGB image is corrected to label the spectral data plaque or no plaque. Learning and prediction were performed by Artificial Neural Network. The proposed method showed that plaque could be detected without staining about 70% accurate.