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Egyptian Nile Tilapia Fish Freshness Assessment Based on an Efficient Image Processing Method

机译:基于高效图像处理方法的埃及尼罗罗非鱼鱼新鲜度评估

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The Egyptian Nile Tilapia fish are kind of fish that exist in freshwater and less commonly typically found residing in brackish water. The freshness of tilapia fish is depending on the way the fish are stored after the harvesting time. The two essential factors that have an effect on the fish excellent are the retention time and medium used in the storage procedure. As the days pass, the quality of the fish sample may be decreased till it finally reaches the consumers. This paper proposed an automatic method for classifying tilapia fish freshness based on having fish image only. The proposed method is applied to real data-set images captured during several different days. The experimental results show the effectiveness of our method in determining fish freshness in terms of both accuracy and processing time. The experimental consequences display the effectiveness of our technique in determining fish freshness taking into account the accuracy of freshness results at a suitable processing time.
机译:埃及尼罗河罗非鱼是一种淡水鱼类,不常见于微咸水中。罗非鱼的新鲜度取决于捕捞时间后鱼类的储存方式。影响鱼类优良的两个基本因素是保留时间和储存过程中使用的培养基。随着时间的流逝,鱼样品的质量可能会下降,直到最终到达消费者手中。本文提出了一种仅基于鱼图像的罗非鱼鱼新鲜度自动分类方法。所提出的方法适用于在不同日期捕获的真实数据集图像。实验结果表明,根据准确性和加工时间,我们的方法在确定鱼类新鲜度方面是有效的。实验结果表明,在适当的处理时间下,考虑到新鲜度结果的准确性,我们的技术在确定鱼类新鲜度方面的有效性。

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