机器视觉技术在水产食品感官检测方面的应用研究进展

A Review of the Application of Machine Vision Technique in Sensory Testing of Aquatic Foods

机器视觉技术是一种无损、快速、经济的检测技术。结合国内外的相关研究现状,本文介绍了机器视觉系统的优点和对颜色、形状、尺寸等的检测方法,在此基础上,分别对机器视觉技术在包括鱼、虾、扇贝和牡蛎等水产食品感官检测方面的应用进行了详细阐述和讨论,此外,探究了机器视觉技术目前在水产食品感官检测领域应用的局限性及在深度学习方面的发展前景。本文旨在为水产食品的感官检测提供技术支撑,保障消费者的食用安全。

Machine vision technique is a non-destructive, fast and economical inspection technology. Based on a review of the current status of research on machine vision technique, the advantages of a machine vision system and the ways in which it is used to detect color, shape and size are presented in the present paper. On this basis, the application of machine vision technique is discussed and analyzed carefully in aquatic products such as fish, shrimp, scallops and oysters. In addition, the limitations of machine vision technique in the sensory detection of aquatic foods are pointed out and future development prospects in deep learning are discussed. The purpose of this paper is to provide technical support for sensory testing of aquatic foods to ensure consumer safety.