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首页> 外文期刊>Quality Assurance and Safety of Crops & Foods >Development and application of a computer vision system for the measurement of the colour of Iranian sweet bread.
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Development and application of a computer vision system for the measurement of the colour of Iranian sweet bread.

机译：计算机视觉的发展和应用系统测量的色彩伊朗甜面包。

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摘要

A combination of digital camera, computer and graphics software can provide a less expensive and more versatile technique to determine the surface colour of foods. The aim of this work is the development and application of a computer vision system for the measurement of the colour of Iranian sweet bread. In this study, imaging from samples was performed in an environment with 6,500 K illumination standard, and RGB colour space of captured images were transferred to L*a*b* indices by computer software under illumination standard. This digital image processing was developed as a simple and efficient method for evaluating Iranian sweet bread colour. Also, the effect of adding honey on qualitative and quantitative changes of colour values was evaluated as a function of the honey percentage (0, 2, 4, 6, 8, 10, 12, 14% honey powder). Results showed that the colour of the bread produced was improved by adding honey and the developed image processing system was suitable for the measurement of colour parameters. The developed image processing system can be used to measure the surface colour of food.
机译：数码相机、电脑和图形软件可以提供一个更便宜的和更多样化的技术来确定表面颜色的食物。计算机的发展和应用视觉系统测量的颜色伊朗的甜面包。从样品的环境中执行6500 K照明标准,RGB颜色空间被转移到捕获的图像L * a * b *指数由计算机软件照明标准。处理是作为一个简单的和开发的有效的方法来评估伊朗甜面包的颜色。定性和定量的变化颜色价值评估是一个函数的蜂蜜百分比(0、2、4、6、8、10、12、14%蜂蜜粉)。通过添加蜂蜜和面包生产得到了改进开发了图像处理系统适用于测量颜色参数。可用于测量的表面颜色吗食物。

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