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Online Measurement of Content in Block Frozen Shrimp by Fusion of X-ray Imaging and Binocular Vision

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Abstract

A machine vision system based on the fusion of X-ray imaging and the binocular stereo vision was developed for the online estimation of net content in block frozen shrimp. Supported algorithms were specifically developed and programmed for the online system, including image acquisition, processing, controlling the whole process, and saving the classification results. The results indicated that the relationship between mean gray value of X-ray image and net content of shrimp is linearity. Meanwhile, the coefficient of linear model also can be represented by the thickness of block frozen shrimp. An online estimation model was built with mean gray value and thickness as dependent variables. Binocular stereo vision technology was also employed to acquire thickness information of samples to revise the estimation model. The performance of the predictive model using two variables was achieved, with R (correlation coefficient) of 0.9475 and root-mean-square error of prediction (RMSEP) of 22.0993 in prediction set. Good consistence confirmed that the proposed method has significant potential application in online estimation of content in block frozen shrimp.

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Acknowledgments

This work has been financially supported by the “Twelfth Five-Year” Plan key projects supported by the National Science and Technology (Grant No. 2012BAD29B04-4), A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, the National Natural Science Foundation of People’s Republic of China (Grant No. 31201451), and an open foundation of agricultural product physical processing laboratory (Grant No. JAPP2013-9)

Conflict of Interest

Li Sun declares that she has no conflict of interest. Bin Liu declares that he has no conflict of interest. Jian-rong Cai declares that he has no conflict of interest. Song Lv declares that he has no conflict of interest. Chuang Ye declares that he has no conflict of interest. This article does not contain any studies with human or animal subjects.

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Authors and Affiliations

  1. School of Food and Biological Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, People’s Republic of China

    Li Sun, Jian-rong Cai, Song Lv & Chuang Ye

  2. Chinese Academy of Agricultural Mechanization Sciences, Beijing, 100083, China

    Bin Liu

  3. Key Laboratory for Physical Processing of Agricultural Products of Jiangsu Province, Zhenjiang, China

    Li Sun & Jian-rong Cai

Authors
  1. Li Sun
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  2. Bin Liu
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  3. Jian-rong Cai
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  4. Song Lv
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  5. Chuang Ye
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Correspondence to Jian-rong Cai.

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Sun, L., Liu, B., Cai, Jr. et al. Online Measurement of Content in Block Frozen Shrimp by Fusion of X-ray Imaging and Binocular Vision. Food Anal. Methods 8, 2560–2567 (2015). https://doi.org/10.1007/s12161-015-0132-8

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  • DOI: https://doi.org/10.1007/s12161-015-0132-8

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