湖北农业科学 ›› 2021, Vol. 60 ›› Issue (7): 145-148.doi: 10.14088/j.cnki.issn0439-8114.2021.07.029

• 信息工程 • 上一篇    下一篇

基于表面缺陷识别的猕猴桃分级方法

杨涛1, 马京晶2, 雷进1   

  1. 1.成都农业科技职业学院机电信息学院,成都 611130;
    2.成都工贸职业技术学院,成都 611731
  • 收稿日期:2020-06-19 出版日期:2021-04-10 发布日期:2021-04-25
  • 通讯作者: 马京晶(1992-),女,四川苍溪人,助教,硕士,主要从事农业工程与信息化/机器视觉技术,(电子信箱)504091928@qq.com。
  • 作者简介:杨 涛(1991-),男,四川遂宁人,助教,硕士,主要从事农业工程与信息化/机器视觉技术研究,(电话)18349398395(电子信箱)egstao@163.com。
  • 基金资助:
    成都农业科技职业学院院级科研项目(CNY19-39)

Classification method of kiwifruit based on surface defect recognition

YANG Tao1, MA Jing-jing2, LEI Jin1   

  1. 1. School of Mechanical and Electrical Information, Chengdu Agricultural College, Chengdu 611130, China;
    2. Chengdu Industry and Trade College, Chengdu 611731, China
  • Received:2020-06-19 Online:2021-04-10 Published:2021-04-25

摘要: 针对中国猕猴桃分级方法单一、分级成本高等问题,提出了一种基于猕猴桃表面缺陷的分级方法。搭建了一套猕猴桃图像采集系统,运用K-means聚类分割算法对其表面缺陷进行分割,再通过颜色对比判断是否为残次果;随后提取正常果的形状特征并设计了SVM分类器进一步判断其所属等级。该方法具有成本低、算法简单、运行高效等优势,为水果分级打开了新思路,对于促进中国水果分级产业发展、提升国际竞争力有重要意义。

关键词: 猕猴桃, 表面缺陷识别, 水果分级

Abstract: Aiming at the problems of single classification method and high classification cost of kiwifruit in China, this paper proposes a classification method based on kiwifruit surface defects. A set of kiwifruit image acquisition system is built. The K-means clustering segmentation algorithm was used to segment the surface defects, and then the color contrast was used to determine whether it was a residual fruit. Then, the shape features of normal fruit were extracted and SVM classifier was designed to further determine its grade. This method has the advantages of low cost, simple algorithm and high efficiency, which opens a new way for fruit classification, and is of great significance to promote the development of fruit classification industry in China and enhance international competitiveness.

Key words: kiwifruit, surface defect identification, fruit classification

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