基于机器视觉技术的淡水鱼品种识别

    Identification of freshwater fish species based on computer vision

    • 摘要: 为了后续加工便利,需要对打捞上来的淡水鱼进行分类,而且分类是淡水鱼加工前处理的重要工序之一。为了实现淡水鱼的自动分类,该研究通过收集常见的4种淡水鱼240条为试验样本,分别为鲢鱼、鲫鱼、鳊鱼和鲤鱼。通过运用机器视觉技术采集各种淡水鱼的图像,并运用数字图像处理技术对图像进行处理,提取其各个颜色分量及长短轴之比等特征值,最后运用该特征值建立有关淡水鱼的品种识别模型。研究表明,通过该识别模型可以完全实现对鲢鱼、鲫鱼、鳊鱼和鲤鱼这4种淡水鱼的品种的识别,准确率达到96.67%。机器视觉技术可以快速准确对常见的淡水鱼进行品种识别,具有较强的实际应用价值。

       

      Abstract: In order to facilitate the subsequent processing, it is necessary to develop an identification system which was used to classify the freshwater fish automatically by their species. In this study, four species of fish amounted 240 for the test samples were collected, which were chub, crucian, bream and carp, the image of each fish by the machine vision were got, after the image processing, the color components and the ratio between the major axis and the minor axis of the fish were extracted. Finally the identification model was extracted by the eigenvalues. The results showed that the identification model would be used to identify the four species; the precision rate was 96.67%. Computer vision can be used to grade the freshwater fish quickly and precisely, it has great practical application value.

       

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