Standardization for Export Quality of Oreochromis niloticus and Chanos chanos based on Quality Index Method using Integrated Image Processing Algorithms
Flordeliza L. Valiente, Danielle Jaye S. Agron, Alvin Vincent R. Antioquia, Glenn D. Cua, John Clement S. Ibo, Jessie R. Balbin, Leonardo D. Valiente
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引用次数: 2
Abstract
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.
本研究的目的是准备一个原型,用于评估尼罗罗非鱼和遮目鱼(Bangus)在鱼池和湿市场储存中的标准水平。将被评估的参数是眼睛,长度和质地。实时捕获的罗非鱼和班古斯鱼的图像将由树莓派进行扫描和处理,并将传输到具有标准鱼类图像算法数据库的笔记本电脑上。采用质量指数法(Quality Index Method, QIM),采用L*a*b*色空间平均和参考比较,对每个样本鱼取百分比分数并进行验证。这项研究为养鱼户提供了一种有效的方法来验证和确保消费者的鱼是高质量的。