Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (11): 10-16.DOI: 10.3778/j.issn.1002-8331.2001-0248

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Survey of Fruit Quality Detection Based on Machine Vision

HE Wenbin, WEI Aiyun, MING Wuyi, JIA Haojie   

  1. 1.College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
    2.Guangdong Provincial Key Laboratory of Manufacturing Equipment Digitization, Guangdong Huazhong University of Science and Technology Industrial Technology Research Institute, Dongguan, Guangdong 523808, China
  • Online:2020-06-01 Published:2020-06-01



  1. 1.郑州轻工业大学 机电工程学院,郑州 450002
    2.广东华中科技大学工业技术研究院 广东省制造装备数字化重点实验室,广东 东莞 523808


With the development of economy and the improvement of consumption level, consumers have gradually increased the requirements for the appearance quality of fruits. At present, the classification of fruits in China mainly depends on manual and mechanical classification. There are problems of low sorting efficiency and uneven quality, which is difficult to meet consumer demand. Compared with traditional grading technology, machine vision technology has attracted widespread attention from scholars at home and abroad due to its advantages of high efficiency, accuracy, and non-contact measurement. Based on the research progress of scholars at home and abroad in recent years, this paper introduces fruit detection systems, image denoising, image segmentation techniques, and feature extraction in detail. It also comprehensively analyzes classifier recognition algorithms, and elaborates research on fruit classification based on machine vision current status and latest progress, forecasts possible future development trends, and provides basic theoretical references for subsequent research.

Key words: fruit, machine vision, image processing, feature extraction, classification



关键词: 水果, 机器视觉, 图像处理, 特征提取, 分级