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An efficient image processing based method for gills segmentation from a digital fish image

机译:基于有效图像处理的数字鱼图像中g分割方法

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The quality and freshness of a fish sample is mainly affected due to the handling and storage conditions during the post harvesting period. The retention time and storage medium are the two main factors affecting the fish quality. This paper presents an image processing based method for automatic and efficient segmentation of gills from the fish sample image which can be used for fish freshness validation and determination of any pesticide from the fish sample under test. The implemented algorithm has produced a maximum correlation of 92.4% with the ground truth results obtained from experts. The method used for gills segmentation is fast and simple.
机译:鱼样品的质量和新鲜度主要受捕捞后处理和储存条件的影响。保留时间和储存介质是影响鱼类质量的两个主要因素。本文提出了一种基于图像处理的方法,用于从鱼样品图像中自动,有效地分割g,可用于鱼的新鲜度验证和确定被测鱼样品中的任何农药。与从专家那里获得的地面真实结果相比,所实施的算法产生的最大相关度为92.4%。用于g分割的方法既快速又简单。

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