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Hardware centric machine vision for high precision center of gravity calculation
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media.ORCID iD: 0000-0002-3429-273X
2010 (English)In: World Academy of Science, Engineering and Technology: An International Journal of Science, Engineering and Technology, ISSN 2010-376X, E-ISSN 2070-3740, Vol. 64, 571-578 p.Article in journal (Refereed) Published
Abstract [en]

We present a hardware oriented method for real-time measurements of object's position in video. The targeted application area is light spots used as references for robotic navigation. Different algorithms for dynamic thresholding are explored in combination with component labeling and Center Of Gravity (COG) for highest possible precision versus Signal-to-Noise Ratio (SNR). This method was developed with a low hardware cost in focus having only one convolution operation required for preprocessing of data.

Place, publisher, year, edition, pages
2010. Vol. 64, 571-578 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-28876Scopus ID: 2-s2.0-78651560279OAI: oai:DiVA.org:miun-28876DiVA: diva2:973784
Available from: 2016-09-22 Created: 2016-09-22 Last updated: 2016-09-22Bibliographically approved

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Cheng, XinThörnberg, BennyMalik, WaheedLawal, Najeem
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