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Conference Paper: Study on fruit quality inspection based on color image processing

TitleStudy on fruit quality inspection based on color image processing
Authors
Wang, YMen, JCui, YZhang, PChen, SHuang, GQ
KeywordsFruit Quality
Image Processing
Inspection
White Balance
Issue Date2010
Citation
Iccasm 2010 - 2010 International Conference On Computer Application And System Modeling, Proceedings, 2010, v. 4, p. V41-V45 How to Cite?
DOI: http://dx.doi.org/10.1109/ICCASM.2010.5620820
AbstractIn this paper, a new method of inspecting fruit quality is proposed based on color image processing. After an image of fruits is taken, white balance is performed. Then the image is transferred from the RGB color model to the HSI color model. Its simplified histograms of hue H and saturation S are calculated as the input of a designed BP network. The output of the BP network is the quality description of the inspected fruits. The number of neurons in the intermediate layer is optimized according to generated error of the BP network. After training, the quality of fruits is inspected by the BP network according to the simplified histograms of Hand S of their color image. Experiments are conducted with the quality inspection of bananas. Experiment results show the feasibility and reliability of proposed method.
Persistent Identifierhttp://hdl.handle.net/10722/158832
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorWang, Yen_US
dc.contributor.authorMen, Jen_US
dc.contributor.authorCui, Yen_US
dc.contributor.authorZhang, Pen_US
dc.contributor.authorChen, Sen_US
dc.contributor.authorHuang, GQen_US
dc.date.accessioned2012-08-08T09:03:31Z-
dc.date.available2012-08-08T09:03:31Z-
dc.date.issued2010en_US
dc.identifier.citationIccasm 2010 - 2010 International Conference On Computer Application And System Modeling, Proceedings, 2010, v. 4, p. V41-V45en_US
dc.identifier.urihttp://hdl.handle.net/10722/158832-
dc.description.abstractIn this paper, a new method of inspecting fruit quality is proposed based on color image processing. After an image of fruits is taken, white balance is performed. Then the image is transferred from the RGB color model to the HSI color model. Its simplified histograms of hue H and saturation S are calculated as the input of a designed BP network. The output of the BP network is the quality description of the inspected fruits. The number of neurons in the intermediate layer is optimized according to generated error of the BP network. After training, the quality of fruits is inspected by the BP network according to the simplified histograms of Hand S of their color image. Experiments are conducted with the quality inspection of bananas. Experiment results show the feasibility and reliability of proposed method.en_US
dc.languageengen_US
dc.relation.ispartofICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedingsen_US
dc.subjectFruit Qualityen_US
dc.subjectImage Processingen_US
dc.subjectInspectionen_US
dc.subjectWhite Balanceen_US
dc.titleStudy on fruit quality inspection based on color image processingen_US
dc.typeConference_Paperen_US
dc.identifier.emailHuang, GQ:gqhuang@hkucc.hku.hken_US
dc.identifier.authorityHuang, GQ=rp00118en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/ICCASM.2010.5620820en_US
dc.identifier.scopuseid_2-s2.0-78649587730en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78649587730&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume4en_US
dc.identifier.spageV41en_US
dc.identifier.epageV45en_US
dc.identifier.scopusauthoridWang, Y=35293863000en_US
dc.identifier.scopusauthoridMen, J=36650882000en_US
dc.identifier.scopusauthoridCui, Y=35331683800en_US
dc.identifier.scopusauthoridZhang, P=35175258500en_US
dc.identifier.scopusauthoridChen, S=35331828000en_US
dc.identifier.scopusauthoridHuang, GQ=7403425048en_US

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