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Conference Paper: Study on HSI color model-based fruit quailty evaluation

TitleStudy on HSI color model-based fruit quailty evaluation
Authors
Wang, YCui, YChen, SZhang, PHuang, HHuang, GQ
KeywordsBp Network
Evaluation
Fruit Quality
His Color Model
Issue Date2010
Citation
Proceedings - 2010 3Rd International Congress On Image And Signal Processing, Cisp 2010, 2010, v. 6, p. 2677-2680 How to Cite?
DOI: http://dx.doi.org/10.1109/CISP.2010.5647943
AbstractIn order to evaluate the qualities of fruits, a new method based on HSI color model was proposed in this paper. An image of fruits was taken and transferred from the RGB color model to the HSI color model. Its simplified histogram of hue H was calculated, which was used as the input of a designed BP network. The output of the BP network was the description of evaluated quality of the fruits. After training, the quality of fruits was identified by the BP network according to the simplified histogram of H of their colored image. Experiments were conducted with satisfied results to show the feasibility and usefulness of the proposed method of fruit quality evaluation. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158833
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorWang, Yen_US
dc.contributor.authorCui, Yen_US
dc.contributor.authorChen, Sen_US
dc.contributor.authorZhang, Pen_US
dc.contributor.authorHuang, Hen_US
dc.contributor.authorHuang, GQen_US
dc.date.accessioned2012-08-08T09:03:32Z-
dc.date.available2012-08-08T09:03:32Z-
dc.date.issued2010en_US
dc.identifier.citationProceedings - 2010 3Rd International Congress On Image And Signal Processing, Cisp 2010, 2010, v. 6, p. 2677-2680en_US
dc.identifier.urihttp://hdl.handle.net/10722/158833-
dc.description.abstractIn order to evaluate the qualities of fruits, a new method based on HSI color model was proposed in this paper. An image of fruits was taken and transferred from the RGB color model to the HSI color model. Its simplified histogram of hue H was calculated, which was used as the input of a designed BP network. The output of the BP network was the description of evaluated quality of the fruits. After training, the quality of fruits was identified by the BP network according to the simplified histogram of H of their colored image. Experiments were conducted with satisfied results to show the feasibility and usefulness of the proposed method of fruit quality evaluation. ©2010 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - 2010 3rd International Congress on Image and Signal Processing, CISP 2010en_US
dc.subjectBp Networken_US
dc.subjectEvaluationen_US
dc.subjectFruit Qualityen_US
dc.subjectHis Color Modelen_US
dc.titleStudy on HSI color model-based fruit quailty evaluationen_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/CISP.2010.5647943en_US
dc.identifier.scopuseid_2-s2.0-78650580530en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78650580530&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume6en_US
dc.identifier.spage2677en_US
dc.identifier.epage2680en_US
dc.identifier.scopusauthoridWang, Y=35293863000en_US
dc.identifier.scopusauthoridCui, Y=35331683800en_US
dc.identifier.scopusauthoridChen, S=35331828000en_US
dc.identifier.scopusauthoridZhang, P=35175258500en_US
dc.identifier.scopusauthoridHuang, H=35092692000en_US
dc.identifier.scopusauthoridHuang, GQ=7403425048en_US

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