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Standardization for Export Quality of Oreochromis niloticus and Chanos chanos based on Quality Index Method using Integrated Image Processing Algorithms

机译:基于质量指数法的集成图像处理算法的尼罗罗非鱼和杂种香菜出口质量标准化

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The aim of this research is to prepare a prototype to be used in assessing the standard level of Nile Tilapia and Milkfish (Bangus) in fish pen and wet market storage. The parameters that will be assessed are the eyes, length and texture. The real time captured images of Tilapia and Bangus will be scanned and processed by the Raspberry Pi and will be transferred to a laptop that have the database of standard fish image algorithm. QIM (Quality Index Method) is used for the results accuracy by Using L*a*b* color space averaging and reference comparison, the percent score for each sample fish was taken and verified. This research provides the fish farmers an efficient way to verify and ensure the consumers that the fishes are of high quality.
机译:这项研究的目的是准备一个原型,用于评估鱼笔和湿市场存储中的尼罗罗非鱼和遮目鱼(班格斯)的标准水平。将要评估的参数是眼睛,长度和纹理。实时捕获的罗非鱼和Bangus图像将由Raspberry Pi进行扫描和处理,并将被传输到具有标准鱼图像算法数据库的笔记本电脑中。通过使用L * a * b *颜色空间平均和参考比较,将QIM(质量指数方法)用于结果准确性,并获取并验证了每个样本鱼的百分比得分。这项研究为养鱼户提供了一种有效的方法,可以验证并确保消费者所购买的鱼是高质量的。

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