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智能视觉识别技术在果蔬瑕疵检测中的应用研究

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本文探讨了智能视觉识别技术在果蔬瑕疵检测中的应用,包括图像采集与预处理、特征提取与分类,以及深度学习技术在瑕疵检测中的具体应用.通过这些方法,可以实现对果蔬瑕疵的快速、准确识别,对提升果蔬产业的自动化和智能化水平具有重要意义.
Application of Intelligent Visual Recognition Technology in Fruit and Vegetable Defect Detection
This paper discusses the application of intelligent visual recognition technology in fruit and vegetable defect detection,including image acquisition and preprocessing,feature extraction and classification,and the specific application of deep learning technology in defect detection.Through these methods,rapid and accurate identification of fruit and vegetable defects can be achieved,which is of great significance to improve the automation and intelligence level of the fruit and vegetable industry.

intelligent visual recognitionfruit and vegetable defect detectionimage acquisition

孔慧慧

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江阴职业技术学院,江苏 无锡 214400

智能视觉识别 果蔬瑕疵检测 图像采集

2023年度江阴职业技术学院立项课题

XJ2023LG002

2024

现代食品
国家粮食储备局郑州科学研究设计院

现代食品

影响因子:0.169
ISSN:2096-5060
年,卷(期):2024.30(16)
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