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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河罗非鱼鱼类新鲜评估

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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:埃及尼罗河罗非鱼鱼类是一种在淡水中存在的鱼类,通常常见于咸水中的淡水。罗非鱼鱼的新鲜度取决于鱼在收获时间后储存的方式。对鱼类的影响优异的两个基本因素是存储过程中使用的保留时间和培养基。随着日子通过,鱼样品的质量可能会降低,直到它最终到达消费者。本文提出了一种基于捕鱼图像的罗非鱼鱼新鲜的自动方法。该方法应用于在几个不同日期捕获的真实数据集图像上。实验结果表明了我们在精度和处理时间方面确定鱼类新鲜度的方法。实验后果显示了我们技术在确定鱼类新鲜度时考虑到合适的处理时间的新鲜结果的准确性。

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