Capture and location of blobs in digital images

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dc.contributor.authorSeelemann, Sven Alexanderen_US
dc.date.accessioned2024-08-15T18:21:57Z
dc.date.available2024-08-15T18:21:57Z
dc.date.copyright1993en_US
dc.date.issued1993
dc.degree.departmentDepartment of Mechanical Engineering
dc.degree.levelMaster of Applied Science M.A.Sc.en
dc.description.abstractThis thesis describes three methods of detecting the location of active targets using machine vision. In the field of visual servoing, the detection and location of targets is the first step in controlling the motion of a platform with respect to the target. In certain long range, outdoor settings, active targets are the only feasible target type. For each method (centroid, linear parameter estimation, and non- linear parameter estimation), a theoretical resolution and accuracy analysis is performed. This analysis is followed by an experimental suite that determines real resolution and accuracy of each method. The linear parameter estimation technique does not properly locate active targets. Both the centroid and non- linear parameter estimation can achieve accuracies of 0.25 pixels in locating active targets.en
dc.format.extent168 pages
dc.identifier.urihttps://hdl.handle.net/1828/19669
dc.rightsAvailable to the World Wide Weben_US
dc.subjectUN SDG 11: Sustainable Cities and Communitiesen
dc.titleCapture and location of blobs in digital imagesen_US
dc.typeThesisen_US

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