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Volume: 1 | Article ID: art00078
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Color Image Analysis Method for Prediction of Turkey Breast Meat Transformation Yield
  DOI :  10.2352/CGIV.2002.1.1.art00078  Published OnlineJanuary 2002
Abstract

The Trade Union of turkey in France (CIDEF) and National Institute of Agronomical Research (Research Meat station of INRA) study the turkey breast meat color to predict meat transformation yield and the consumers' acceptability of fresh fillets. They have asked to Cemagref to develop a new tool based on color numerical vision to determine the relevant objective color measurements which could give prediction of the breast transformation yield to minimize economic loss of the production of turkey ham. In this research project we devised a vision system to research and measure turkey breast meat visual features. A color vision system was developed and calibrated to grab color images and segmentation methods were applied to locate tissues of breast and to measure their color. To find efficient aspect variables, the color results were studied, in relation to breast transformation yield and other measurements included meat pH.

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P. Marty-Mahé, P. Loisel, D. Brossard, G. Monin, V. Santé, "Color Image Analysis Method for Prediction of Turkey Breast Meat Transformation Yieldin Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 372 - 374,  https://doi.org/10.2352/CGIV.2002.1.1.art00078

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Copyright © Society for Imaging Science and Technology 2002
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Conference on Colour in Graphics, Imaging, and Vision
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