References
- Balaban , M. O. 2008 . Quantifying non-homogeneous colors in agricultural materials . Part I: Method development. J. Food Sci. , 73 ( 9 ) : S431 – S437 .
- Balaban , M. O. , Aparicio , J. , Zotarelli , M. and Sims , C. 2008 . Quantifying non-homogeneous colors in agricultural materials. Part II: Comparison of machine vision and sensory panel evaluations . J. Food Sci. , 73 ( 9 ) : S438 – S442 .
- Balaban , M. O. , Bergmann , Y. , Yeralan , S. and Otwell , W. S. 1994 . Determination of count and uniformity ratio of shrimp by machine vision . J. Aquat. Food Prod. T. , 3 ( 3 ) : 43 – 58 .
- Balaban , M. O. , Chombeau , M. , Gümüş , B. and Cırban , D. 2012 . Quality evaluation of Alaska pollock (Theragra chalcogramma) roe by image analysis. Part I: Weight prediction . J. Aquat. Food Prod. T. , 21 ( 1 ) : 59 – 71 .
- Balaban , M. O. and Odabaşı , A. Z. 2006 . Measuring color with machine vision . Food Technol. , 60 : 32 – 36 .
- Beatty , A. , Gosine , R. G. and de Silva , C. W. 1993 . Recent developments in the application of computer vision for automated herring roe assessment . IEEE Pac. Rim , 2 : 698 – 701 .
- Beatty , D. A. 1993 . “ 2-D contour shape analysis for automated herring roe quality grading by computer vision ” . British Columbia , , Canada : Unpublished master's thesis, University of British Columbia, Vancouver .
- Bekhit , A. E. A. , Morton , J. D. , Dawson , C. O. and Sedcole , R. 2009 . Optical properties of raw and processed fish roes from six commercial New Zealand species . J. Food Eng. , 91 : 363 – 371 .
- Blasco , J. , Aleixos , N. and Molto , E. 2003 . Machine vision system for automatic quality grading of fruit . Biosyst. Eng. , 85 ( 4 ) : 415 – 423 .
- Bledsoe , G. and Rasco , B. 2006 . “ Caviar and fish roe. In: Handbook of Food Science, Technology, and Engineering ” . Edited by: Hui , Y. H. Boca Raton , FL : CRC Press .
- Brosnan , T. and Sun , D. W. 2002 . Inspection and grading of agricultural and food products by computer vision systems—A review . Comput. Electron. Agr. , 36 : 193 – 213 .
- Brosnan , T. and Sun , D. W. 2004 . Improving quality inspection of food products by computer vision—A review . J. Food Eng. , 61 : 3 – 16 .
- Croft , E. A. , de Silva , C. W. and Kurnianto , S. 1996 . Sensor technology integration in an intelligent machine for herring roe grading . IEEE-ASME T. Mech. , 1 ( 3 ) : 204 – 215 .
- Fabbri , R. , Costa , L. F. , Torelli , J. C. and Bruno , O. M. 2008 . 2D Euclidean distance transform algorithms: A comparative survey . ACM Comput. Surv , 40 ( 1 ) : 2-1 – 2-44 .
- Gunasekaran , S. 1996 . Computer vision technology for food quality assurance . Trends Food Sci. Tech. , 7 : 245 – 256 .
- Kurnianto , S. , de Silva , C. W. , Croft , E. A. and Gosine , R. G. 1999 . “ Intelligent automation of herring roe grading. In: Intelligent Adaptive Control: Industrial Applications ” . Edited by: Jain , L. C. and de Silva , C. W. Boca Raton , FL : CRC Press .
- Luzuriaga , D. , Balaban , M. O. and Yeralan , S. 1997 . Analysis of visual quality attributes of white shrimp by machine vision . J. Food Sci. , 62 ( 1 ) : 1 – 7 .
- National Marine Fisheries Service. 2009. Fisheries statistics & economics: Foreign trade information. http://www.st.nmfs.gov/st1/trade/index.html (http://www.st.nmfs.gov/st1/trade/index.html) (Accessed: 9 September 2009 ).
- National Marine Fisheries Service. 2010. FishWatch. http://www.nmfs.noaa.gov/fishwatch/species/walleye_pollock.htm (http://www.nmfs.noaa.gov/fishwatch/species/walleye_pollock.htm) (Accessed: 27 September 2010 ).
- Tan , J. 2003 . Meat quality evaluation by computer vision . J. Food Eng. , 61 : 27 – 35 .