Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision

Hui Liu; Qiang Xu; Shilin Liu; Libin Zhang; Hongsheng Yang

doi:10.1007/s00343-015-4080-3

Your Location：

Home >

Browse articles >

Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision

OriginalPaper | Updated：2023-05-16

- Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision
- Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision
- 海洋湖沼学报（英文） 2015年33卷第1期页码：114-120
- Affiliations：
  
  1. Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology Chinese Academy of Sciences
  2. University of Chinese Academy of Sciences
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (NSFC)-Shandong Joint Fund for Marine Science Research Centers (No. U1406403), the National Key Technology Research and Development Program of China (No. 2011BAD13B02), the National Marine Public Welfare Research Project (No. 201205023), the Strategic Priority Research Program of Chinese Academy of Sciences (No. XDA11020404)
- DOI：10.1007/s00343-015-4080-3
  中图分类号：
- 网络首发：2014-10-27，
  
  纸质出版：2015
- Accepted：
Scan QR Code
Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision[J]. 海洋湖沼学报（英文）, 2015,33(1):114-120.

Liu, H., Xu, Q., Liu, S. et al. Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision., Chin. J. Ocean. Limnol. 33, 114–120 (2015). https://doi.org/10.1007/s00343-015-4080-3
Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision[J]. 海洋湖沼学报（英文）, 2015,33(1):114-120. DOI： 10.1007/s00343-015-4080-3.

Liu, H., Xu, Q., Liu, S. et al. Evaluation of body weight of sea cucumber Apostichopus japonicus by computer vision., Chin. J. Ocean. Limnol. 33, 114–120 (2015). https://doi.org/10.1007/s00343-015-4080-3 DOI：

摘要

Abstract

A postichopus japonicus (Holothuroidea

Echinodermata) is an ecological and economic species in East Asia. Conventional biometric monitoring method includes diving for samples and weighing above water

with highly variable in weight measurement due to variation in the quantity of water in the respiratory tree and intestinal content of this species. Recently

video survey method has been applied widely in biometric detection on underwater benthos. However

because of the high flexibility of A. japonicus body

video survey method of monitoring is less used in sea cucumber. In this study

we designed a model to evaluate the wet weight of A. japonicus

using machine vision technology combined with a support vector machine (SVM) that can be used in field surveys on the A. japonicus population. Continuous dorsal images of free-moving A. japonicus individuals in seawater were captured

which also allows for the development of images of the core body edge as well as thorn segmentation. Parameters that include body length

body breadth

perimeter and area

were extracted from the core body edge images and used in SVM regression

to predict the weight of A. japonicus and for comparison with a power model. Results indicate that the use of SVM for predicting the weight of 33 A. japonicus individuals is accurate (R 2=0.99) and compatible with the power model (R 2 =0.96). The image-based analysis and size-weight regression models in this study may be useful in body weight evaluation of A. japonicus in lab and field study.

关键词

Keywords

references

Balaban M O, Chombeau M, Cłrban D, Gümüş B. 2010. Prediction of the weight of Alaskan Pollock using image analysis. Journal of Food Science, 75(8): E552–E556.

Bureau of Fisheries, Ministry of Agriculture of China. 2013. China Fishery Statistical Year Book. China Agriculture Press, Beijing, China. p.29. (in Chinese)

Choe S, Ohshima Y. 1961. On the morphological and ecological differences between two commercial forms, “Green” and “Red”, of the Japanese common sea cucumber, Stichopus japonicus Selenka. Bulletin of the Japanese Society of Scientific Fisheries, 27(2): 97–106.

Choe S. 1963. Namako no kenkyu. Biology of the Japanese Common Sea Cucumber Stichopus japonicus (Selenka). Kaibundo, Tokyo. (in Japanese with English abstract)

Cristianini N, Shawe-Taylor J. 2000. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Technische Universitat Darmstadt, Camberidge University Press.

Damar S, Yagiz Y, Balaban M, Ural S, Oliveira A, Crapo C. 2007. Prediction of oyster volume and weight using machine vision. Journal of Aquatic Food Product Technology, 15(4): 3–15.

Gümüş B, Balaban M Ö, Ünlüsayın M. 2011. Machine vision applications to aquatic foods: a review. Turkish Journal of Fisheries and Aquatic Sciences, 11: 171–181.

Gümüş B, Balaban M O. 2010. Prediction of the weight of aquacultured rainbow trout (Oncorhynchus mykiss) by image analysis. Journal of Aquatic Food Product Technology, 19(3–4): 227–237.

Harvey E, Fletcher D, Shortis M. 2002. Estimation of reef fish length by divers and by stereo-video: a first comparison of the accuracy and precision in the field on living fish under operational conditions. Fisheries Research, 57(3): 255–265.

Lin A, Sun B, Yada S. 2006. Studies on the detecting method of scallop grading based on machine vision. Journal of Fisheries of China, 30(3): 397–403. (in Chinese with English abstract)

Mukherjee S, Osuna E, Girosi F. 1997. Nonlinear prediction of chaotic time series using support vector machines. Neural Networks for Signal Processing [1997] VII. Proceedings of the 1997 IEEE Workshop. p.511–520.

Odone F, Trucco E, Verri A. 2001. A trainable system for grading fish from images. Applied Artificial Intelligence, 15(8): 735–745.

Qin C, Dong S, Tan F, Tian X, Wang F, Dong Y, Gao Q. 2009. Optimization of stocking density for the sea cucumber, Apostichopus japonicus Selenka, under feed-supplement and non-feed-supplement regimes in pond culture. Journal of Ocean University of China, 8(3): 296–302.

Sebald D J, Bucklew J A. 2000. Support vector machine techniques for nonlinear equalization. Signal Processing, IEEE Transactions on, 48(11): 3 217–3 226.

Sun Z-L, Gao Q-F, Dong S-L, Shin P K, Wang F. 2012. Estimates of carbon turnover rates in the sea cucumber Apostichopus japonicus (Selenka) using stable isotope analysis: the role of metabolism and growth. Marine Ecology Progress Series, 457: 101–112.

Tillett R, McFarlane N, Lines J. 2000. Estimating dimensions of free-swimming fish using 3D point distribution models. Computer Vision and Image Understanding, 79(1): 123–141.

Torisawa S, Kadota M, Komeyama K, Suzuki K, Takagi T. 2011. A digital stereo-video camera system for threedimensional monitoring of free-swimming Pacific bluefin tuna, Thunnus orientalis, cultured in a net cage. Aquatic Living Resources, 24(02): 107–112.

Vapnik V. 2000. The Nature of Statistical Learning Theory. Series: Information Science and Statistics. Originally published as a monograph. 2nd edn. XIX, 314 p. Springer.

Watanabe S, Zarate J M, Sumbing J G, Lebata-Ramos M J H, Nievales M F. 2012. Size measurement and nutritional condition evaluation methods in sandfish (Holothuria scabra Jaeger). Aquaculture Research, 43(6): 940–948.

Yamana Y, Hamano T, Yamamoto K-I. 2005. Anesthetizer of the adult sea cucumber Apostichopus japonicus. Nippon Suisan Gakkaishi, 71(3): 299–306.

Yamana Y, Hamano T. 2006. New size measurement for the Japanese sea cucumber Apostichopus japonicus (Stichopodidae) estimated from the body length and body breadth. Fisheries Science, 72(3): 585–589.

Yang H, Yuan X, Zhou Y, Mao Y, Zhang T, Liu Y. 2005. Effects of body size and water temperature on food consumption and growth in the sea cucumber Apostichopus japonicus (Selenka) with special reference to aestivation. Aquaculture Research, 36(11): 1 085–1 092.

Zion B. 2012. The use of computer vision technologies in aquaculture — a review. Computers and Electronics in Agriculture, 88: 125–132.

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

A new technique for rapid assessment of eutrophication status of coastal waters using a support vector machine

Monitoring cyanobacteria-dominant algal blooms in eutrophicated Taihu Lake in China with synthetic aperture radar images

Effect of culture methods on individual variation in the growth of sea cucumber Apostichopus japonicus within a cohort and family

齿轮传动对转桨扇发动机总体性能建模

高压涡轮封严流与主流相互作用的机理研究