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

Mona M. Soliman, Ahmed Abdelmonem Hemedan, A. Hassanein
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引用次数: 2

Abstract

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.
基于高效图像处理方法的埃及尼罗罗非鱼新鲜度评价
埃及尼罗河罗非鱼是一种生活在淡水中的鱼,不太常见,通常生活在咸淡水中。罗非鱼的新鲜度取决于收获后的储存方式。影响鱼品品质的两个重要因素是保存时间和储存过程中使用的培养基。随着时间的推移,鱼样本的质量可能会下降,直到最终到达消费者手中。提出了一种基于罗非鱼图像的罗非鱼新鲜度自动分类方法。将所提出的方法应用于数天内拍摄的真实数据集图像。实验结果表明,该方法在准确度和加工时间两方面都是有效的。实验结果显示了我们的技术在确定鱼类新鲜度方面的有效性,同时考虑到在适当的加工时间内新鲜度结果的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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