›› 2012, Vol. 14 ›› Issue (1): 98-103.DOI: 10.3969/j.issn.1008-0864.2012.01.14

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Research Progress on Computer Vision Technique in Fruit Quality Inspection

REN Yong-xin, SHAN Zhong-de, ZHANG Jing, ZHAN Li   

  1. (Advanced Manufacture Technology Research Center, Chinese Academy of Machinery Science &|Technology, Beijing 100083, China)
  • Received:2011-06-27 Revised:2011-07-20 Online:2012-02-15 Published:2011-12-15

计算机视觉技术在水果品质检测中的研究进展

任永新,单忠德,张静,战丽   


  1. (机械科学研究总院先进制造技术研究中心, 北京 100083)
  • 通讯作者: 单忠德,研究员,博士,主要从事农产品质量与检测技术研究。Tel:010-82415109; E-mail:shanzd@cam.com.cn
  • 作者简介:任永新,高级工程师,博士,研究方向为计算机视觉技术及机电一体化装备。E-mail:renyongxin75@126.com。
  • 基金资助:

    北京市科技计划课题(z101105002510004)资助。

Abstract:

Fruit quality inspection is an important basis for its classification. With the development of computer and image processing technology, decreased computer hardware cost and increased performance of computer, the application of computer vision technology have been widely used in fruit inspection. In order to promote the application of this technique and fully utilize the latest research findings, this paper reviews the different computer vision inspection technique for specific fruit variety both in external and internal quality inspections, summarizes the research progress gained at home and abroad, and prospects the research direction for computer vision technology, so as to provide reference for fruit researchers in China.

Key words: fruit grading, computer vision, quality inspection, hyperspectral imaging, near-Infrared spectroscopy

摘要:

水果的品质检测是水果分级的重要依据。随着计算机和图像处理技术的发展、计算机硬件成本的下降和性能的提升,计算机视觉检测技术在水果品质检测方面获得了越来越多的应用。为了能充分利用最新研究成果,该文从计算机视觉技术在水果外观品质和内部品质的检测两个方面,分别综述了国内外的研究进展,并对其发展方向进行了展望,以供我国研究人员做同类研究时参考。

关键词: 水果分级;计算机视觉;品质检测;高光谱成像;近红外成像

CLC Number: