The Development of a vision-based flotation froth analysis system

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dc.contributor.advisorDe Jager, Gerharden_ZA
dc.contributor.authorWright, Benedict Ansonen_ZA
dc.date.accessioned2014-12-10T07:57:26Z
dc.date.available2014-12-10T07:57:26Z
dc.date.issued1999en_ZA
dc.descriptionBibliography : leaves157-163.en_ZA
dc.description.abstractThis dissertation describes the development of a machine vision system for the on-line analysis of flotation froth images. The size and shape of bubbles that constitute the flotation froth convey considerable information on the performance of the flotation process. A method whereby this size and shape information can be automatically extracted from froth images is highly desirable. In this research, a system was developed which acquires froth image using a video camera, and then rapidly identifies the bubbles in the froth by segmenting the image using a morphological operation known as the Fast Watershed Transform. Bubble size and shape information is extracted from the segmented images and can be correlated with metallurgical and other data from concentrator plants in order to elucidate relationships between froth appearance and plant performance. The machine vision system developed was tested on a platinum concentrator plant, and is able to identify and characterise variations in flotation froth appearance, which occur in response to changes in process inputs. The ability of the system to detect changes in bubble size distribution has been found to be particularly useful in detecting process input variations.en_ZA
dc.identifier.apacitationWright, B. A. (1999). <i>The Development of a vision-based flotation froth analysis system</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/9923en_ZA
dc.identifier.chicagocitationWright, Benedict Anson. <i>"The Development of a vision-based flotation froth analysis system."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 1999. http://hdl.handle.net/11427/9923en_ZA
dc.identifier.citationWright, B. 1999. The Development of a vision-based flotation froth analysis system. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Wright, Benedict Anson AB - This dissertation describes the development of a machine vision system for the on-line analysis of flotation froth images. The size and shape of bubbles that constitute the flotation froth convey considerable information on the performance of the flotation process. A method whereby this size and shape information can be automatically extracted from froth images is highly desirable. In this research, a system was developed which acquires froth image using a video camera, and then rapidly identifies the bubbles in the froth by segmenting the image using a morphological operation known as the Fast Watershed Transform. Bubble size and shape information is extracted from the segmented images and can be correlated with metallurgical and other data from concentrator plants in order to elucidate relationships between froth appearance and plant performance. The machine vision system developed was tested on a platinum concentrator plant, and is able to identify and characterise variations in flotation froth appearance, which occur in response to changes in process inputs. The ability of the system to detect changes in bubble size distribution has been found to be particularly useful in detecting process input variations. DA - 1999 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 1999 T1 - The Development of a vision-based flotation froth analysis system TI - The Development of a vision-based flotation froth analysis system UR - http://hdl.handle.net/11427/9923 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9923
dc.identifier.vancouvercitationWright BA. The Development of a vision-based flotation froth analysis system. [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/11427/9923en_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.titleThe Development of a vision-based flotation froth analysis systemen_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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