摘要
传统的海产品分类及质量检验主要是采用人工方法,靠肉眼进行判断,需耗费大量的人力,且劳动强度大、效率低。采用计算机视觉技术对海产品进行自动分类与质量评估可有效克服上述缺点。通过提取海产品的尺寸、形状、颜色、纹理等特征,结合预测模型,采用数字图像处理的方法可实现海产品的无接触、无损伤处理。文章分析基于计算机视觉技术的海产品分类及质量评估系统的构成,并通过实例分析阐述其具体实现方法,论证该方法的有效性。
The traditional method of classification and quality control is mainly used artificial means judging by the naked eye which would spend a lot of manpower with labor-intensive and inefficient. The disadvantage can be overcome by using the system based on computer vision technology, which can achieve the automatic classification and quality assessment of seafood. The methods of digital image process- ing were used to extract the size, shape, color, texture and other characteristics of the seafood. Combining with predictive models, the seaf^3od ear~ be classified in a non-contact and non-destructive man- ner. This paper analyzes the composition of classification and quality assessment system according to seafood based on computer vision technology. The feasibility of the system is described by the analysis of the examples which also demonstrates the effectiveness of this technique.
出处
《食品与机械》
CSCD
北大核心
2012年第4期154-156,共3页
Food and Machinery
关键词
计算机视觉
海产品
质量评估
图像处理
computer vision
seafood
quality evaluation
image processing
