Faculty Profiles - ENOMOTO Koichiro

Papers - ENOMOTO Koichiro

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全天球ステレオカメラを用いた養殖魚3次元計測システムの開発 Reviewed

菰田佳寿，榎本洸一郎，戸田真志，伊藤峰文，酒井道

精密工学会誌 91 ( 1 ) 97 - 103 2025.1

Analysis Method for Turing Patterns and Biological Skin Patterns Using Persistent Homology Reviewed

T. Kanamori, K. Enomoto, N. Aoki, O. Sakai, and M. Toda

Int. J. of Automation Technology 2025

Automatic Detection and Distribution Mapping of Epibenthos from Seabed Images Reviewed

K. Enomoto, N. Maruo, K. Miyoshi, Y. Kuwahara, M. Toda

Int. J. of Automation Technology 2025

Classification Method of Corneocytes from BG-stained Images using Deep Learning Reviewed

K. Enomoto, R. Yasuda, T. Mizutani, Y. Okano, T. Tanaka

Int. J. of Automation Technology 2025

Skin diagnostic method using Fontana-Masson stained images of stratum corneum cells Reviewed

S. Hasegawa, K. Enomoto, T. Mizutani, Y. Okano, T. Tanaka, O. Sakai

IEICE Trans. Inf. & Syst. E107-D ( 8 ) 1070 - 1078 2024.8

タッチ教示を用いた画像計測支援ツールと水産資源への応用 Reviewed

榎本洸一郎,戸田真志,川崎琢真,清水洋平

情報処理学会論文誌 64 ( 7 ) 1173 - 1181 2023.7

ICPアルゴリズムによる養殖設備の3次元形状からのホタテガイ検出手法 Reviewed

長谷川正樹,榎本洸一郎,戸田真志,桒原康裕,三好晃治,西田芳則

精密工学会誌 89 ( 1 ) 77 - 82 2023

計測行為に仕組まれた深層学習データセット生成サイクル Reviewed

榎本洸一郎,戸田真志,川崎琢真,清水洋平

ヒューマンインタフェース学会論文誌 25 ( 1 ) 47 - 54 2023

Image processing for evaluation of papilla clearness of dried sea cucumber products Reviewed

Narita M., Sugawara A., Kuwahara Y., Enomoto K., Toda M.

Food Science and Technology Research 27 ( 1 ) 69 - 74 2021.1

Language：English Publishing type：Research paper (scientific journal) Publisher：Food Science and Technology Research

We aimed to establish an objective method to evaluate the quality of dried sea cucumber products. Clearness of papillae on the body wall affects the quality and commercial value of this luxury seafood. Unfortunately, an objective method for evaluating papilla clearness remains to be developed. We digitalized clearness of papillae from dried sea cucumber products images using TouchDeMeasure. This software application was developed by the authors. Using this tool, we measured body length (BL), total perimeter including all papillae (TP), and ellipse perimeter excluding the papillae (EP). Results showed that TP/BL, TP/EP, and (TP-EP)/BL values for a clear papilla were significantly higher than those for an unclear papilla. Additionally, we confirmed that these parameters corresponded with the grading levels used by a connoisseur. These experimental results show that our method digitally analyzes the clearness of papillae to evaluate the quality of dried sea cucumber products.

DOI： 10.3136/fstr.27.69

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85102399617&origin=inward

Removal of floating particles from underwater images using image transformation networks Reviewed

Li L., Komuro T., Enomoto K., Toda M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12662 LNCS 2021.1

Language：English Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

In this paper, we propose three methods for removing floating particles from underwater images. The first two methods are based on Generative Adversarial Networks (GANs). The first method uses CycleGAN which can be trained with an unpaired dataset, and the second method uses pix2pixHD that is trained with a paired dataset created by adding artificial particles to underwater images. The third method consists of two-step process – particle detection and image inpainting. For particle detection, an image segmentation neural network U-Net is trained by using underwater images added with artificial particles. Using the output of U-Net, the particle regions are repaired by an image inpainting network Partial Convolutions. The experimental results showed that the methods using GANs were able to remove floating particles, but the resolution became lower than that of the original images. On the other hand, the results of the method using U-Net and Partial Convolutions showed that it is capable of accurate detection and removal of floating particles without loss of resolution.

DOI： 10.1007/978-3-030-68790-8_32

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85110679867&origin=inward

水中負圧を利用したホタテガイ収穫用グリッパの提案 Reviewed

大淵陽, 飯塚浩二郎, 藤原大佑, 榎本洸一郎, 戸田真志, 桒原康裕, 三好晃治

設計工学 56 ( 9 ) 449 - 464 2021

Investigation of influence of change of noise variance in removing floating matter from underwater image using kalman filter Reviewed

Egashira M., Migita M., Enomoto K., Komuro T., Toda M., Kuwahara Y., Tezuka N.

Lecture Notes in Electrical Engineering 589 987 - 993 2020.1

Language：English Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Electrical Engineering

© Science Press 2020. In this paper, we propose a method for eliminating image noise (from sand, algae, bubbles, etc.) that is transferred when capturing underwater images. In detail, we separate the input of a moving underwater image into a slowly changing background and foreground moving at a certain speed using Kalman filter and object tracking. In this research, we examined the difference in image quality of the output image by changing the noise variance given to the Kalman filter.

DOI： 10.1007/978-981-32-9441-7_102

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85072810930&origin=inward

A Study of Bottom Sediment Classification System Using Seabed Images Reviewed International journal

J. Kitagawa, K. Enomoto, M. Toda, K. Miyoshi, Y. Kuwahara,

Sensors and Materials 2019.3

Productivity and thallus toughness trade-off relationship in marine macroalgae from the Japan Sea Reviewed

Sakanishi Y., Kasai H., Enomoto K., Toda M., Tanaka J.

Phycological Research 2019.1

Language：English Publishing type：Research paper (scientific journal) Publisher：Phycological Research

© 2019 Japanese Society of Phycology Trade-offs are considered key to understanding mechanisms supporting the coexistence of multiple plant species. Thus, understanding the mechanisms underlying trade-offs is expected to contribute to conservation and management of macroalgal beds composed of diverse macroalgae of rocky shore ecosystems. To test the occurrence of trade-offs between productivity and thallus toughness as well as pair-wise thallus trait relationships that are expected to indirectly relate to any trade-offs, traits and relationships for 13 species of macroalgae from the central area along the Japan Sea coast of Honshu, Japan were examined. In each species we examined for photosynthetic capacity per unit biomass (as A mass ) and nitrogen (i.e., photosynthetic nitrogen-use efficiency, PNUE), nitrogen content (as N mass ), thallus mass per unit thallus area (as TMA) and force required to penetrate the thallus (as F p , a common index of leaf toughness in land plants by punch test). A significant negative correlation indicating a trade-off between productivity and thallus toughness was found between A mass or PNUE and F p . Pair-wise relationships that were expected to indirectly relate to the trade-off were as follows. A mass was positively correlated with N mass . Thalli with high N mass extensively utilizing nitrogen in the photosynthetic parts, and consequently exhibiting elevated metabolic rates. Moreover, thalli with high N mass tended to be associated with low TMA, and N mass decreased with increasing TMA. A significant negative correlation was observed between TMA and A mass or PNUE because of the linkage of high A mass or PNUE with high N mass and high N mass associated with low TMA, while a significant positive correlation was observed between TMA and F p . The two correlations indicate a physiological and structural trade-off, which underlies the interdependency of thallus traits. Results of multivariate analyses also indicated that the thallus traits interdependently vary across a single axis based on the trade-off.

DOI： 10.1111/pre.12375

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85063801233&origin=inward

Fluorescent Staining for Detecting Larvae of the Japanese Scallops Mizuhopecten Yessoensis Reviewed International journal

K. Enomoto, M. Toda, Y. Shimizu, Y. Kuwahara

Transactions of the Institute of Systems, Control and Information Engineers 2018.12

Effect of seawater turbulence on formation of coral primary polyp skeletons Reviewed International journal

 Shinya Iwasaki, Atsushi Suzuki, Akira Iguchi, Osamu Sasaki, Harumasa Kano, Yoshikazu Ohno, Koichiro Enomoto

Coral Reefs 2018.3

Convolutional Neural Networkを用いた海底画像からの底質判別手法

北川純，榎本洸一郎，戸田真志，三好晃治，桒原康裕

精密工学会誌 83 ( 12 ) 1172 - 1177 2017.12

Circatidal activity rhythms in the soldier crab Mictyris guinotae International journal

T. Moriyama, K. Enomoto, H. Kawai, S. Watanabe

Biological Rhythm Research 48 ( 1 ) 129 - 139 2017.1

Visual image of neighbors to elicit wandering behavior in the soldier crab International journal

T. Moriyama, J. Mashiko, T. Matsui, K. Enomoto, T. Matsui, K. Iizuka, M. Toda, and Y. P. Gunji

Artificial Life and Robotics 21 ( 3 ) 247 - 252 2016.9

動画を用いた対人コミュニケーションにおける第一印象形成に対する客観的評価の検討

山﨑達也，前原謙一，榎本洸一郎

日本顔学会誌 15 ( 2 ) 131 - 138 2015.10

Extraction Method of Scallop Area from Sand Seabed Images

K. Enomoto, M. Toda, and Y. Kuwahara

IEICE TRANSACTIONS on Information and Systems 97 ( 1 ) 130 - 139 2014.1

Extraction Method for Ezo-Wakame Using Line Convergence Index Filter

T. Hagisawa, K. Enomoto, M. Toda, M. Tamura, M. Kimura, and S. Takeda

The journal of the Institute of Image Electronics Engineers of Japan 42 ( 2 ) 206 - 213 2013.3

ミナミコメツキガニの群行動解析のための密な隣接を考慮した分布推定

榎本洸一郎，西山雄大，戸田真志，郡司ペギオ幸夫，森山徹，飯塚浩二郎

画像電子学会誌 42 ( 2 ) 229 - 237 2013.3

カニ時計：個の振る舞いと群れの振る舞い

西山雄大，榎本洸一郎，戸田真志，森山徹，郡司ペギオ幸夫

計測自動制御学会論文誌 49 ( 1 ) 18 - 24 2013.1

群れの維持・形成に寄与する内的ゆらぎ

村上久，西山雄大，新里高行，榎本洸一郎，戸田真志，森山徹，飯塚浩二郎，郡司ペギオ幸夫

計測自動制御学会論文誌 49 ( 1 ) 33 - 38 2013.1

The Effect of Mobile Robot on Group Behavior of Animal

D. Fujiwara, K. Iizuka, Y. Matsumura, T. Moriyama, R. Watanabe, K. Enomoto, M. Toda, and Y. Gunji

Journal of Robotics and Mechatronics 24 ( 6 ) 1071 - 1079 2012.12

頑健な兵隊ガ二の群れをもたらす内的ゆらぎ

郡司ペギオ幸夫，村上久，新里高行，榎本洸一郎，戸田真志，西山雄大，森山徹，松井哲也，飯塚浩二郎

Viva Origino 39 25 - 29 2011.6

Extraction Method of Scallop Area in Gravel Seabed Images for Fishery Investigation

K. Enomoto, M. Toda, and Y. Kuwahara

IEICE TRANSACTIONS on Information and Systems 93 ( 7 ) 1754 - 1760 2010.7

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Papers - ENOMOTO Koichiro