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Hardware Centric Ma...
Hardware Centric Machine Vision for High Precision Center of Gravity Calculation
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- Cheng, Xin, 1974- (author)
- Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013),STC
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- Thörnberg, Benny, 1966- (author)
- Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013),STC
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- Malik, Waheed, 1981- (author)
- Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013),STC
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- Lawal, Najeem (author)
- Mittuniversitetet,Institutionen för informationsteknologi och medier (-2013),STC
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(creator_code:org_t)
- 2010
- 2010
- English.
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In: PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY. ; 40, s. 576-583
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Dynamic thresholding
- segmentation
- position measurement
- sub-pixel precision
- center of gravity
- Electronics
- Elektronik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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