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Surface defects detection of red jujube based on near-infrared vision system
Xu M(许敏); Ma Y(马钺); Chen S(陈帅)
Conference Name2012 International Conference on Sensors, Measurement and Intelligent Materials, ICSMIM 2012
Conference DateDecember 26-27, 2012
Conference PlaceGuilin, China
Source PublicationApplied Mechanics and Materials
PublisherTrans Tech Publications
Publication PlaceClausthal-Zellerfeld,Germany
Indexed ByEI ; CPCI(ISTP)
EI Accession number20131116115398
WOS IDWOS:000320625500116
Contribution Rank1
KeywordAgricultural Machinery Computer Vision Defects Food Products Fruits Infrared Devices Infrared Imaging Intelligent Materials Sensors
AbstractQuality evaluation of agricultural and food products is important for processing, inventory control, and marketing. Fruit surface defects are important quality factors for the jujube industry, especially for high quality jujubes such as Xinjiang red jujube. This paper presents the development and test results of a machine vision system for automatic jujube surface defects detection. Unlike other near-infrared spectrometric approaches, the developed machine vision system uses reflective near-infrared image to evaluate jujube quality by analyzing two-dimensional images. Near-infrared image, vision algorithms and a variety of operational details of the system, including cameras, optics, illumination, and fruit carrier are presented. The complete machine vision system has been built, and the experimental results show that the designed machine vision system is feasible to detect the defects of jujubes. © (2013) Trans Tech Publications, Switzerland.
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Document Type会议论文
AffiliationShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110179, China
Recommended Citation
GB/T 7714
Xu M,Ma Y,Chen S. Surface defects detection of red jujube based on near-infrared vision system[C]. Clausthal-Zellerfeld,Germany:Trans Tech Publications,2012:573-577.
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