Academic literature on the topic 'Subpixel measurements'
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Journal articles on the topic "Subpixel measurements"
Fabijańska, Anna. "A survey of subpixel edge detection methods for images of heat-emitting metal specimens." International Journal of Applied Mathematics and Computer Science 22, no. 3 (September 1, 2012): 695–710. http://dx.doi.org/10.2478/v10006-012-0052-3.
Full textLyvers, E. P., O. R. Mitchell, M. L. Akey, and A. P. Reeves. "Subpixel measurements using a moment-based edge operator." IEEE Transactions on Pattern Analysis and Machine Intelligence 11, no. 12 (1989): 1293–309. http://dx.doi.org/10.1109/34.41367.
Full textKhalil, Mohamad, Erik Schou Dreier, Jan Kehres, Jan Jakubek, and Ulrik Lund Olsen. "Subpixel resolution in CdTe Timepix3 pixel detectors." Journal of Synchrotron Radiation 25, no. 6 (October 26, 2018): 1650–57. http://dx.doi.org/10.1107/s1600577518013838.
Full textLuo, Xin, Li Ming Wu, and De Zhi Zeng. "Application Research on Precision Detection of Small Gear with Composite Edge Detection Method." Applied Mechanics and Materials 333-335 (July 2013): 1123–28. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1123.
Full textBerzal, M., E. Gómez, J. de Vicente, J. Caja, and C. Barajas. "Bayesian model for subpixel uncertainty determination in optical measurements." Procedia Manufacturing 13 (2017): 442–49. http://dx.doi.org/10.1016/j.promfg.2017.09.042.
Full textMorgan, Jeffrey S., D. C. Slater, John G. Timothy, and E. B. Jenkins. "Centroid position measurements and subpixel sensitivity variations with the MAMA detector." Applied Optics 28, no. 6 (March 15, 1989): 1178. http://dx.doi.org/10.1364/ao.28.001178.
Full textBader, Rolf, Florian Pfeifle, Niko Plath, and Christian Koehn. "Measurements of friction instruments with high-speed camera and subpixel tracking." Journal of the Acoustical Society of America 138, no. 3 (September 2015): 1888. http://dx.doi.org/10.1121/1.4933927.
Full textBorden, Jonathan A., Jen-san Tsai, and Anita Mahajan. "Effect of subpixel magnetic resonance imaging shifts on radiosurgical dosimetry for vestibular schwannoma." Journal of Neurosurgery 97 (December 2002): 445–49. http://dx.doi.org/10.3171/jns.2002.97.supplement_5.0445.
Full textLombardo, V., M. Musacchio, and M. F. Buongiorno. "Error analysis of subpixel lava temperature measurements using infrared remotely sensed data." Geophysical Journal International 191, no. 1 (October 1, 2012): 112–25. http://dx.doi.org/10.1111/j.1365-246x.2012.05632.x.
Full textMincewicz, G., A. Aloszko, J. Rumiński, and G. Krzykowski. "Adjusted subpixel method enables optimisation of bronchial measurements in high-resolution CT." British Journal of Radiology 85, no. 1016 (August 2012): 1093–97. http://dx.doi.org/10.1259/bjr/74259914.
Full textDissertations / Theses on the topic "Subpixel measurements"
Kohoutek, Michal. "Metoda fyzikálního modelování přechodových hran v obraze pro určení skutečné pozice obrysu předmětu." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-233452.
Full textChen, Chih-hsiang, and 鄭志祥. "The Study on Image Inspection of Rice using Subpixel Measurements." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/37649135277988116744.
Full text國立中興大學
農業機械工程學系
90
The image processing techniques can be applied for the classification of variety and quality of agricultural products. The classification parameters include length, width, perimeter and area. The recognition function of the inspection will be improved depending on the precision and raised due to measured data. In this study, CCD camera with four scales 1/64, 1/16, 1/4 and 1 of resolutions was utilized to acquire images of rice kernels. The noise of image was removed by the median filter. The moment-preserving principle was applied to determine the thresholds automatically to reduce the effect of changes of the acquiring environment on length, width, perimeter and area. A micrometer (10mm×10mm, 0.1mm grid) was applicated to calculate the length and width of rice using the projection image of each rice kernel. Two methods, the automatic thresholding and the sobel operator with LoG method were employed to detect the edge of rice image and to calculate its length and width. The experimental results obtained from both methods were then compared with that using the fixed threshold method. The results show that the automatic thresholding is able to reduce the effect of variation of the light source. The use of LoG method can improve the resolution and measurement precision from pixel resolution to subpixel resolution. According to the Scheffe test of SAS, the percentage of errors measured by the automatic thresholding with LoG method were improved at scales of 1/64 (13.79×10-2 mm/pixel) and 1 (1.69×10-2 mm/pixel). To increase the inspection amount of rice kernels per image and to improve the inspection speed without reducing the precision, the automatic thresholding with LoG method is a superior way of edge detection for the four scales considered in this research. The choose of resolution can be determined by the requirement of the inspection precision, for instance, 108 rice kernels per image at scale 1/64 (13.79×10-2 mm/pixel) and 30 rice kernels per image at scale 1/16 (6.79×10-2 mm/pixel) that can achieve the inspection accuracy required.
Guo, Wen Liang, and 郭溫良. "Precision inspection and measurement using subpixel values." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/85709055019286703524.
Full textHsieh, Tung-Lin, and 謝東霖. "The Study of Using Subpixel Technology on Digital Image Measurement." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/84983965775040902834.
Full text國立清華大學
動力機械工程學系
91
As long as digital image has been captured, there is an innate limitation on resolution. Thus, in application of measuring image there are usually limited by hardware equipment and can’t be exactly measured. However, The image interpolation is the key technique to break this limitation. This research uses image enlargement technique to realize exactly measurement of subpixel precision, and hopes using software to assist hardware, and break the limitation of resolution on hardware. Due to the general subpixel measurements are from edge detection to enlarge edge, and then use edge detection again to get the image for measurement. However, because of the image sample in this paper is much simple, after using binary and then enlarging the image, measuring the image. It is obviously that we can shorten the time of measuring image on the production line. This paper discusses several existing interpolation enlargement algorithm, and realize these algorithm through program. It is hope that the image measuring software raised in this paper can apply to the real production line.
"Model Agnostic Extreme Sub-pixel Visual Measurement and Optimal Characterization." Master's thesis, 2012. http://hdl.handle.net/2286/R.I.15110.
Full textDissertation/Thesis
Measurement Results (part 1)
Measurement Results (part 2)
General Presentation
M.S. Mechanical Engineering 2012
Book chapters on the topic "Subpixel measurements"
HajiRassouliha, Amir, Andrew J. Taberner, Martyn P. Nash, and Poul M. F. Nielsen. "Subpixel Measurement of Living Skin Deformation Using Intrinsic Features." In Computational Biomechanics for Medicine, 91–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54481-6_8.
Full textLiu, Xiao-yong, Qing-chang Tan, and Rong-li Li. "Study on Digital Image Correlation Using Artificial Neural Networks for Subpixel Displacement Measurement." In Lecture Notes in Electrical Engineering, 405–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12990-2_46.
Full textYoshita, K., S. Kitamoto, E. Miyata, H. Tsunemi, and K. C. Gendreau. "Direct Measurement of the CCD with a Subpixel Resolution by Using a New Technique." In The Hot Universe, 339–40. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4970-9_114.
Full textConference papers on the topic "Subpixel measurements"
Maalen-Johansen, Ivar. "Precision of subpixel measurements in videometry." In Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, edited by Armin Gruen and Heribert Kahmen. SPIE, 1994. http://dx.doi.org/10.1117/12.169833.
Full textFerrer, Belen, Julian Espinosa, Ana B. Roig, Jorge Perez, Pablo Acevedo, and David Mas. "Low cost subpixel method for vibration measurement." In 11TH INTERNATIONAL CONFERENCE ON VIBRATION MEASUREMENTS BY LASER AND NONCONTACT TECHNIQUES - AIVELA 2014: Advances and Applications. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4879584.
Full textGhule, Chandesh Sayaji, and M. S. Panse. "Subpixel measurements for unoccluded circular object in Machine Vision." In 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM). IEEE, 2015. http://dx.doi.org/10.1109/icstm.2015.7225472.
Full textPiterman, Albert, and Zoran Ninkov. "Measurements of the subpixel sensitivity for a backside-illuminated CCD." In Electronic Imaging, edited by Morley M. Blouke, Nitin Sampat, George M. Williams, Jr., and Thomas Yeh. SPIE, 2000. http://dx.doi.org/10.1117/12.385467.
Full textHachicha, A., and S. Simon. "Subpixel Edge Detection For Precise Measurements By A Vision System." In 1988 International Congress on Optical Science and Engineering, edited by Donald W. Braggins. SPIE, 1989. http://dx.doi.org/10.1117/12.949239.
Full textZhong, Yuning, Qinghua Lv, Liangen Yang, and Yingwu Xue. "A subpixel edge detection algorithm for the high-precision automatic alignment system." In Third International Symposium on Precision Mechanical Measurements. SPIE, 2006. http://dx.doi.org/10.1117/12.716300.
Full textBrady, Michael R., and Pavlos P. Vlachos. "Novel, Subpixel Resolution Schemes for Particle Image Velocimeters." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56838.
Full textEckstein, Adric C., John J. Charonko, and Pavlos P. Vlachos. "Phase Correlation Processing for DPIV Measurements: Part I — Spatial Domain Analysis." In ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37286.
Full textSerio, B., J. J. Hunsinger, D. D. Teyssieux, and B. Cretin. "Phase correlation method for subpixel in-plane vibration measurements of MEMS by stroboscopic microscopy." In Optical Metrology, edited by Wolfgang Osten, Christophe Gorecki, and Erik L. Novak. SPIE, 2005. http://dx.doi.org/10.1117/12.612546.
Full textHafiane, Adel, Sylvain Petitgrand, Olivier Gigan, Samia Bouchafa, and Alain Bosseboeuf. "Study of subpixel image processing algorithms for MEMS in-plane vibration measurements by stroboscopic microscopy." In Optical Metrology, edited by Christophe Gorecki. SPIE, 2003. http://dx.doi.org/10.1117/12.500141.
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