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Color Symbol Design and Its Classification for Optical Navigation
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. (STC)
(English)Manuscript (preprint) (Other academic)
Abstract [en]

We explored the color symbol design and its recognition in image as reference structure for optical navigation. A colors pair was first determined as foreground and background from HSI color palette and then a color symbol was designed as reference structure. The advantage of using this selected color symbol is a significant reduction, up to 97%, of segmented image components as compared to the grey scale image used. The reduction of segmented components in image will result in saving the hardware resources e.g. memory and processing power which are very important constraint for embedded platforms. A color symbol pattern was designed, comprising of three concentric circles with selected color pair. Inside the inner most circle is the Area Of Interest (AOI), the contents of AOI depends on the particular application. A hardware centric image analysis algorithm is developed for easy and robust recognition. Image components are identified after preprocessing, segmentation and labeling. The color symbol can be recognized at a classification step. Evaluating a variety of viewing angles and reading distances ranging from 30 to 150 degrees and from 1 to 10 meters gives a classification success rate of 72 percent of the positions.

Keywords [en]
Reference symbol, SNR, Classification, Nearest-neighbors rule, COG, Recognition, Position Measurement, Robotic Navigation, Machine Vision
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-15200OAI: oai:DiVA.org:miun-15200DiVA, id: diva2:464290
Projects
STCIndustriella IT-systemAvailable from: 2011-12-13 Created: 2011-12-13 Last updated: 2012-08-10Bibliographically 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

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Cheng, XinAbdul Waheed, MalikThörnberg, Benny

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CiteExportLink to record
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