Application of the watershed boundary technique to automatically segment surface froth images

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dc.contributor.advisorDe Jager, Gerharden_ZA
dc.contributor.authorLiu, Jiaen_ZA
dc.date.accessioned2014-09-05T12:35:27Z
dc.date.available2014-09-05T12:35:27Z
dc.date.issued1995en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractThe purpose of this dissertation is to investigate the suitability of using a recently proposed computer processing algorithm - the watershed boundary technique for applications in computer vision systems, where on-line segmentation of the surface froth images in commercial flotation cells is required. In industrial flotation cells, the surface froth offers considerable visual information as to the grade and recovery in extraction and the concentration of minerals in raw ores. The individual bubbles that constitute the surface froth give rise to complex three-dimensional structures that are problematic to segment accurately and reliably by computer vision. Investigating an efficient technique to automatically and accurately extract these visual features in real time is therefore the main task of this research work. Past research work into this field has resulted in a number of different techniques and algorithms for the purpose of segmentation. However, these algorithms are often iterative and therefore quite slow. The technique described here is noniterative and therefore one with industrial real time processing implications. The results show that the watershed boundary technique provides a reliable method for the segmentation of surface froth structures. Minor errors which occur do not significantly influence the statistical parameters which can be determined from the segmented images. This technique is not only very successful in segmentation, but may also be implemented for real-time operation. This clearly leads to a viable new segmentation method.en_ZA
dc.identifier.apacitationLiu, J. (1995). <i>Application of the watershed boundary technique to automatically segment surface froth images</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/6916en_ZA
dc.identifier.chicagocitationLiu, Jia. <i>"Application of the watershed boundary technique to automatically segment surface froth images."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1995. http://hdl.handle.net/11427/6916en_ZA
dc.identifier.citationLiu, J. 1995. Application of the watershed boundary technique to automatically segment surface froth images. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Liu, Jia AB - The purpose of this dissertation is to investigate the suitability of using a recently proposed computer processing algorithm - the watershed boundary technique for applications in computer vision systems, where on-line segmentation of the surface froth images in commercial flotation cells is required. In industrial flotation cells, the surface froth offers considerable visual information as to the grade and recovery in extraction and the concentration of minerals in raw ores. The individual bubbles that constitute the surface froth give rise to complex three-dimensional structures that are problematic to segment accurately and reliably by computer vision. Investigating an efficient technique to automatically and accurately extract these visual features in real time is therefore the main task of this research work. Past research work into this field has resulted in a number of different techniques and algorithms for the purpose of segmentation. However, these algorithms are often iterative and therefore quite slow. The technique described here is noniterative and therefore one with industrial real time processing implications. The results show that the watershed boundary technique provides a reliable method for the segmentation of surface froth structures. Minor errors which occur do not significantly influence the statistical parameters which can be determined from the segmented images. This technique is not only very successful in segmentation, but may also be implemented for real-time operation. This clearly leads to a viable new segmentation method. DA - 1995 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1995 T1 - Application of the watershed boundary technique to automatically segment surface froth images TI - Application of the watershed boundary technique to automatically segment surface froth images UR - http://hdl.handle.net/11427/6916 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/6916
dc.identifier.vancouvercitationLiu J. Application of the watershed boundary technique to automatically segment surface froth images. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1995 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/6916en_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.titleApplication of the watershed boundary technique to automatically segment surface froth 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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