Colour analysis and the classification of fruit

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dc.contributor.advisorDe Jager, Gerharden_ZA
dc.contributor.authorKay, Gary Ren_ZA
dc.date.accessioned2014-10-11T12:06:19Z
dc.date.available2014-10-11T12:06:19Z
dc.date.issued1992en_ZA
dc.descriptionIncludes bibliography.en_ZA
dc.description.abstractThe increasing high standards of fruit quality expected by the agricultural export market of South Africa has reached a stage that fruit must be accurately graded in a short a time as possible. This thesis describes colour systems and methods to grade the fruit automatically via the clustering and classification methods. After investigating several approaches to automatically sort fruit based on colour, an image processing approach was taken. The colours on the fruit (specifically apples) were analyzed, by capturing a colour image of the fruit and analyzing the pixels in the image. Several colour representation systems were investigated and they are: colours represented by spectral power distributions and spectral reflectance curves; the CIE 1931 XYZ tristimulus values; the CIE 1931 x ,y ,z chromaticity coordinates; the CIE 1960 L, u, v uniform chromaticity scale (UCS); the Munsell colour wheel of hue, value and chroma (HVC); the L*u*v* system; the L *a*b* system; the Red, Green and Blue (RGB) system; and the hue, saturation and intensity (HSI) perceptual colour representations. In addition, several clustering and classification techniques were investigated and they are: the supervised methods of Parametric Bayesian classification and minimum Euclidean distance classification; and the unsupervised methods of the K-means algorithm and the ISODATA classification approach. The ICS Texicon computer spectrophotometer (ICS Texicon Spectraflash Manual (1991)) was used to check the performance of most of the colour systems described by analyzing apple sample coloursen_ZA
dc.identifier.apacitationKay, G. R. (1992). <i>Colour analysis and the classification of fruit</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/8355en_ZA
dc.identifier.chicagocitationKay, Gary R. <i>"Colour analysis and the classification of fruit."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1992. http://hdl.handle.net/11427/8355en_ZA
dc.identifier.citationKay, G. 1992. Colour analysis and the classification of fruit. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Kay, Gary R AB - The increasing high standards of fruit quality expected by the agricultural export market of South Africa has reached a stage that fruit must be accurately graded in a short a time as possible. This thesis describes colour systems and methods to grade the fruit automatically via the clustering and classification methods. After investigating several approaches to automatically sort fruit based on colour, an image processing approach was taken. The colours on the fruit (specifically apples) were analyzed, by capturing a colour image of the fruit and analyzing the pixels in the image. Several colour representation systems were investigated and they are: colours represented by spectral power distributions and spectral reflectance curves; the CIE 1931 XYZ tristimulus values; the CIE 1931 x ,y ,z chromaticity coordinates; the CIE 1960 L, u, v uniform chromaticity scale (UCS); the Munsell colour wheel of hue, value and chroma (HVC); the L*u*v* system; the L *a*b* system; the Red, Green and Blue (RGB) system; and the hue, saturation and intensity (HSI) perceptual colour representations. In addition, several clustering and classification techniques were investigated and they are: the supervised methods of Parametric Bayesian classification and minimum Euclidean distance classification; and the unsupervised methods of the K-means algorithm and the ISODATA classification approach. The ICS Texicon computer spectrophotometer (ICS Texicon Spectraflash Manual (1991)) was used to check the performance of most of the colour systems described by analyzing apple sample colours DA - 1992 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1992 T1 - Colour analysis and the classification of fruit TI - Colour analysis and the classification of fruit UR - http://hdl.handle.net/11427/8355 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/8355
dc.identifier.vancouvercitationKay GR. Colour analysis and the classification of fruit. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1992 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/8355en_ZA
dc.language.isoeng
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical and Electronic Engineeringen_ZA
dc.titleColour analysis and the classification of fruiten_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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