Abstract
Counting and sizing large farmed fish such as tuna is often performed during their transfer from one net cage to another. Dual-frequency identification sonar (DIDSON) provides an automated fish counting and sizing tool. However, its counter and sizer are not suitable for measuring farmed fish because of net movements due to currents and subsequent frequent image breakups. This paper presents a fully automated acoustic method to count and size farmed fish during fish transfer by using DIDSON imaging. The background is subtracted from the image after being stabilized by an image phase-only correlation method. The segmentation of the fish is obtained by tracing the edges with a contour tracing method. To prevent recounting the same fish, a Kalman filter algorithm was designed and adapted to predict fish movements. Automated counting was performed by analyzing the spatiotemporal trajectory of the track. The separated fish images were searched for and body length was obtained by summing down the centerline segments from the head to the tail of the fish. The proposed system was verified using farmed yellowtail, Seriola quinqueradiata (mean total length 83.1 cm) to obtain a sizing error of mean total length within 2.4 cm.
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Acknowledgments
We would like to express our gratitude to Mr. Takurou Hotta and the staff working at the Goto Station of the National Center for Stock Enhancement, Fisheries Research Agency, for their cooperation in the field experiments. We would also like to express our sincere appreciation to Mr. Hirohide Matsushima and Mr. Yuuji Yoshihara of the Fisheries Agency of Japan. This study was funded by the 2008 International Fishery Resource Investigation Program of the Fisheries Agency of Japan. Finally, we would like to thank Mr. Yoshiki Matsushita and the anonymous reviewers for giving us their helpful comments and advice on the manuscript.
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Han, J., Honda, N., Asada, A. et al. Automated acoustic method for counting and sizing farmed fish during transfer using DIDSON. Fish Sci 75, 1359–1367 (2009). https://doi.org/10.1007/s12562-009-0162-5
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DOI: https://doi.org/10.1007/s12562-009-0162-5