Classification of cured tobacco leaves by colour and plant position by means of computer processing of digital images

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dc.contributor.advisorDe Jager, Gerharden_ZA
dc.contributor.authorTattersfield, George Metcalfen_ZA
dc.date.accessioned2016-08-11T09:45:59Z
dc.date.available2016-08-11T09:45:59Z
dc.date.issued1999en_ZA
dc.descriptionBibliography: pages 174-182.en_ZA
dc.description.abstractThis dissertation investigates the machine vision grading of flue-cured Virginia tobacco by means of digital processing of tobacco leaf images. With reference to international grading standards and to modem image processing techniques, two classifiers are designed. The colour classifier uses seven features extracted from each leaf image to grade the leaf into one of five official colour classes. It does this with an expected correct classification rate of 93.5%. The plant position classifier identifies the position on the stalk from which a leaf was reaped, using ten size and shape features to classify the leaf into one of six plant position categories. It has a correct classification rate of 70%. Average colours for each colour class and archetypal shapes for each plant position category are derived from the digital leaf data. These should be of value to tobacco graders as objective representations of typical leaves within each class.en_ZA
dc.identifier.apacitationTattersfield, G. M. (1999). <i>Classification of cured tobacco leaves by colour and plant position by means of computer processing of digital images</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/21167en_ZA
dc.identifier.chicagocitationTattersfield, George Metcalf. <i>"Classification of cured tobacco leaves by colour and plant position by means of computer processing of digital images."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1999. http://hdl.handle.net/11427/21167en_ZA
dc.identifier.citationTattersfield, G. 1999. Classification of cured tobacco leaves by colour and plant position by means of computer processing of digital images. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Tattersfield, George Metcalf AB - This dissertation investigates the machine vision grading of flue-cured Virginia tobacco by means of digital processing of tobacco leaf images. With reference to international grading standards and to modem image processing techniques, two classifiers are designed. The colour classifier uses seven features extracted from each leaf image to grade the leaf into one of five official colour classes. It does this with an expected correct classification rate of 93.5%. The plant position classifier identifies the position on the stalk from which a leaf was reaped, using ten size and shape features to classify the leaf into one of six plant position categories. It has a correct classification rate of 70%. Average colours for each colour class and archetypal shapes for each plant position category are derived from the digital leaf data. These should be of value to tobacco graders as objective representations of typical leaves within each class. DA - 1999 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1999 T1 - Classification of cured tobacco leaves by colour and plant position by means of computer processing of digital images TI - Classification of cured tobacco leaves by colour and plant position by means of computer processing of digital images UR - http://hdl.handle.net/11427/21167 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/21167
dc.identifier.vancouvercitationTattersfield GM. Classification of cured tobacco leaves by colour and plant position by means of computer processing of digital images. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1999 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/21167en_ZA
dc.language.isoengen_ZA
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 Engineeringen_ZA
dc.subject.otherImage processingen_ZA
dc.titleClassification of cured tobacco leaves by colour and plant position by means of computer processing of digital imagesen_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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