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Hardware Implementation Of An Object Contour Detector Using Morphological Operators
Linköping University, Department of Electrical Engineering.
2010 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The purpose of this study was the hardware implementation of a real time moving object contour extraction.Segmentation of image frames to isolate moving objects followed by contour extraction using digitalmorphology was carried out in this work. Segmentation using temporal difference with median thresholdingapproach was implemented, experimental methods were used to determine the suitable morphological operatorsalong with their structuring elements dimensions to provide the optimum contour extraction.The detector with image resolution of 1280 x1024 pixels and frame rate of 60 Hz was successfully implemented,the results indicate the effect of proper use of morphological operators for post processing and contourextraction on the overall efficiency of the system. An alternative segmentation method based on Stauffer & Grimson algorithm was investigated and proposed which promises better system performance at the expense ofimage resolution and frame rate

Place, publisher, year, edition, pages
2010. , 42 p.
Keyword [en]
Object detection, FPGA, Morphological operators, Contour extraction, Segmentation, Image processing
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-66353ISRN: LiTH-ISY-EX--10/4283--SEOAI: diva2:403409
2010-12-07, Nollstället, Linköpings universitet, Linköping, 10:00 (English)
Available from: 2011-05-04 Created: 2011-03-13 Last updated: 2011-05-04Bibliographically approved

Open Access in DiVA

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