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Optimized Color Pair Selection for Label Design
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Technology and Media. (STC)
2011 (English)In: Proceedings Elmar - International Symposium Electronics in Marine, Zadar, Croatia: IEEE conference proceedings, 2011, p. 115-118Conference paper, Published paper (Refereed)
Abstract [en]

We present in this paper a technique for designing reference labels that can be used for optical navigation. We optimize the selection of foreground and background colors used for the printed reference labels. This optimization calibrates for individual color responses among printers and cameras such that the Signal to Noise Ratio (SNR) is maximized. Experiments show that we get slightly smaller SNR for the color labels compared to using a monochrome technique. However, the number of segmented image components is reduced significantly by as much as 78 percent. This reduction of number of image components will in turn reduce the memory storage requirement for the computing embedded system.

Place, publisher, year, edition, pages
Zadar, Croatia: IEEE conference proceedings, 2011. p. 115-118
Keywords [en]
Label, Recognition, Position Measurement, COG, Subpixel Precision, RGB, HSI, YCbCr
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-14531Scopus ID: 2-s2.0-80055085889Local ID: STCISBN: 978-953-7044-12-1 (print)OAI: oai:DiVA.org:miun-14531DiVA, id: diva2:443644
Conference
53rd International Symposium ELMAR-2011; Zadar; 14 September 2011 through 16 September 2011
Projects
OptiposAvailable from: 2011-09-26 Created: 2011-09-26 Last updated: 2016-10-19Bibliographically approved
In thesis
1. Hardware centric machine vision for high precision measurement of reference structures in optical navigation
Open this publication in new window or tab >>Hardware centric machine vision for high precision measurement of reference structures in optical navigation
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2012. p. 78
Series
Mid Sweden University licentiate thesis, ISSN 1652-8948 ; 77
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-16176 (URN)STC (Local ID)978-91-87103-05-6 (ISBN)STC (Archive number)STC (OAI)
Supervisors
Available from: 2012-05-04 Created: 2012-05-04 Last updated: 2016-10-20Bibliographically approved
2. Machine vision architecture on FPGA
Open this publication in new window or tab >>Machine vision architecture on FPGA
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2012. p. 111
Series
Mid Sweden University licentiate thesis, ISSN 1652-8948 ; 82
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-16698 (URN)STC (Local ID)978-91-87103-16-2 (ISBN)STC (Archive number)STC (OAI)
Available from: 2012-08-10 Created: 2012-08-10 Last updated: 2016-10-20Bibliographically approved
3. Real-Time Optical Position Sensing on FPGA
Open this publication in new window or tab >>Real-Time Optical Position Sensing on FPGA
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2014. p. 95
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 176
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-24035 (URN)STC (Local ID)978-91-87557-29-3 (ISBN)STC (Archive number)STC (OAI)
Supervisors
Available from: 2015-01-08 Created: 2015-01-07 Last updated: 2017-03-06Bibliographically approved

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Cheng, XinThörnberg, BennyAbdul Waheed, Malik

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