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Color Image Analysis Method for Prediction of Turkey Breast Meat Transformation Yield

机译:土耳其乳腺肉类转化产量预测的彩色图像分析方法

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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.
机译:法国土耳其工会(CIDEF)和国家农艺研究所(Inra的研究肉站)研究了土耳其乳腺肉颜色,预测肉类转化产量和消费者对新鲜鱼片的可接受性。他们已经要求Cemagref基于色彩数字视觉开发一个新工具,以确定相关的客观颜色测量,这可以提高乳房转化产量,以尽量减少土耳其火腿生产的经济损失。在本研究项目中,我们设计了一个视觉系统来研究和测量土耳其乳房视觉特征。开发和校准颜色视觉系统以抓住彩色图像,并施加分段方法以定位乳腺组织并测量它们的颜色。为了找到有效的方面变量,研究了颜色结果,关于乳房转化产量和其他测量包括肉pH值。

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