Academic literature on the topic 'Subpixel measurements'

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Journal articles on the topic "Subpixel measurements"

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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.

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Abstract In this paper the problem of accurate edge detection in images of heat-emitting specimens of metals is discussed. The images are provided by the computerized system for high temperature measurements of surface properties of metals and alloys. Subpixel edge detection is applied in the system considered in order to improve the accuracy of surface tension determination. A reconstructive method for subpixel edge detection is introduced. The method uses a Gaussian function in order to reconstruct the gradient function in the neighborhood of a coarse edge and to determine its subpixel position. Results of applying the proposed method in the measurement system considered are presented and compared with those obtained using different methods for subpixel edge detection.
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Lyvers, 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.

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Khalil, 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.

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Timepix3 (256 × 256 pixels with a pitch of 55 µm) is a hybrid-pixel-detector readout chip that implements a data-driven architecture and is capable of simultaneous time-of-arrival (ToA) and energy (ToT: time-over-threshold) measurements. The ToA information allows the unambiguous identification of pixel clusters belonging to the same X-ray interaction, which allows for full one-by-one detection of photons. The weighted mean of the pixel clusters can be used to measure the subpixel position of an X-ray interaction. An experiment was performed at the European Synchrotron Radiation Facility in Grenoble, France, using a 5 µm × 5 µm pencil beam to scan a CdTe-ADVAPIX-Timepix3 pixel (55 µm × 55 µm) at 8 × 8 matrix positions with a step size of 5 µm. The head-on scan was carried out at four monochromatic energies: 24, 35, 70 and 120 keV. The subpixel position of every single photon in the beam was constructed using the weighted average of the charge spread of single interactions. Then the subpixel position of the total beam was found by calculating the mean position of all photons. This was carried out for all points in the 8 × 8 matrix of beam positions within a single pixel. The optimum conditions for the subpixel measurements are presented with regards to the cluster sizes and beam subpixel position, and the improvement of this technique is evaluated (using the charge sharing of each individual photon to achieve subpixel resolution) versus alternative techniques which compare the intensity ratio between pixels. The best result is achieved at 120 keV, where a beam step of 4.4 µm ± 0.86 µm was measured.
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Luo, 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.

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Vision-based measurement method can be widely used for a variety of real-time and online precision measurements, and particularly well suited for dynamic real-time precision measurement of geometry parameters of the part, which has advantages of non-contact, high-speed, big dynamic range, rich amount of information, and relatively low cost. After the study of vision-based online detection system of small gear, we propose a composite subpixel edge detection method, which combines the four-way weighted differential algorithm based on the classic Sobel operator and OFMM (Orthogonal Fourier-Mellin Moment), aiming at achieving the precision location of the subpixel edge firstly. And then detect tooth profile defects rapidly through scanning circularly the edge image, according to the structural characteristics of gears. The theoretical analysis and experimental results show that the detection method has so high accuracy and speed that it can meet the industrial online tests requirements.
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Berzal, 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.

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Morgan, 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.

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Bader, 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.

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Borden, 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.

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Object. The purpose of this study was to evaluate subpixel magnetic resonance (MR) imaging shifts of intracanalicular vestibular schwannomas (VSs) with respect to the internal auditory canal (IAC) as documented on computerized tomography (CT) scanning and to investigate the source of imaging-related localization errors in radiosurgery as well as the effect of such shifts on the dosimetry for small targets. Methods. A shift of the stereotactic coordinates of intracanalicular VSs between those determined on MR imaging and those on CT scanning represents an error in localization. A shift vector places the tumor within the IAC and measures the CT scan/MR image discrepancy. The shift vectors were measured in a series of 15 largely intracanalicular VSs (all < 1.5 cm3 in volume). Using dose volume histogram measurements, the overlap between shifted and unshifted tumors and radiosurgical treatment plans were measured. Using plastic and bone phantoms and thermoluminescent dosimetry measurements, the correspondence between CT and MR imaging targets and treatments delivered using the Leksell gamma knife were measured. Combining these measurements, the correspondence between intended and actual treatments was measured. Conclusions. The delivery of radiation to CT-imaged targets was accurate to the limits of measurement (∼ 0.1 mm). The MR imaging shifts seen in the y axis averaged 0.9 mm and in the z axis 0.8 mm. The corresponding percentage of tumor coverage with respect to apparent target shift decreased from 98 to 77%. This represents a significant potential error when targets are defined solely by MR imaging.
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Lombardo, 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.

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Mincewicz, 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.

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Dissertations / Theses on the topic "Subpixel measurements"

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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.

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Doctoral thesis is focused on a design of a new original image transition edge physical modeling method for exact object shape position determination. Automatic Optical Inspection systems for the high accuracy optical measurements is main application area for designed method. The new method design is based on precise physical analysis of a defined imaging system. Object side telecentric lens, telecentric backlight source and CCD video camera are main parts of the analyzed imaging system. New image transition edge physical model and method for accurate shape position detection within the model are derived by geometrical and Fourier optics imaging system analysis. Possible influences of the model parameters changes to the accuracy of shape position detection are studied precisely. A new modeling function suitable for implementation in a new optimal approximation method is derived from the physical transition edge model. The modeling function optimal approximation method is implemented in to a Tester2D measuring system and verified by length etalon measurements. The Tester2D measuring system was successfully accredited for dimensions measurement in range with accuracy up to . Documentation of results of the accreditation process with the record of obtained results from measurement system in scope of preformed interlaboratory comparison tests are appended to the doctoral thesis.
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Chen, 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.

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碩士
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.
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Guo, Wen Liang, and 郭溫良. "Precision inspection and measurement using subpixel values." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/85709055019286703524.

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Hsieh, 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.

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碩士
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.
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"Model Agnostic Extreme Sub-pixel Visual Measurement and Optimal Characterization." Master's thesis, 2012. http://hdl.handle.net/2286/R.I.15110.

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abstract: It is possible in a properly controlled environment, such as industrial metrology, to make significant headway into the non-industrial constraints on image-based position measurement using the techniques of image registration and achieve repeatable feature measurements on the order of 0.3% of a pixel, or about an order of magnitude improvement on conventional real-world performance. These measurements are then used as inputs for a model optimal, model agnostic, smoothing for calibration of a laser scribe and online tracking of velocimeter using video input. Using appropriate smooth interpolation to increase effective sample density can reduce uncertainty and improve estimates. Use of the proper negative offset of the template function has the result of creating a convolution with higher local curvature than either template of target function which allows improved center-finding. Using the Akaike Information Criterion with a smoothing spline function it is possible to perform a model-optimal smooth on scalar measurements without knowing the underlying model and to determine the function describing the uncertainty in that optimal smooth. An example of empiric derivation of the parameters for a rudimentary Kalman Filter from this is then provided, and tested. Using the techniques of Exploratory Data Analysis and the "Formulize" genetic algorithm tool to convert the spline models into more accessible analytic forms resulted in stable, properly generalized, KF with performance and simplicity that exceeds "textbook" implementations thereof. Validation of the measurement includes that, in analytic case, it led to arbitrary precision in measurement of feature; in reasonable test case using the methods proposed, a reasonable and consistent maximum error of around 0.3% the length of a pixel was achieved and in practice using pixels that were 700nm in size feature position was located to within ± 2 nm. Robust applicability is demonstrated by the measurement of indicator position for a King model 2-32-G-042 rotameter.
Dissertation/Thesis
Measurement Results (part 1)
Measurement Results (part 2)
General Presentation
M.S. Mechanical Engineering 2012
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Book chapters on the topic "Subpixel measurements"

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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.

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Liu, 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.

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Yoshita, 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.

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Conference papers on the topic "Subpixel measurements"

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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.

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Ferrer, 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.

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Ghule, 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.

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Piterman, 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.

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Hachicha, 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.

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Zhong, 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.

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Brady, 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.

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Simultaneous velocity and size measurements are of great importance for resolving the dynamics of polydispersed multiphase flows. This effort explores novel sub-resolution particle center estimation algorithms for Digital Particle Image Velocimetry (DPIV) and Particle Tracking Velocimetry (DPTV). In addition these schemes provide direct measurements of the apparent particle image diameter using the same DPIV/DPTV recordings. Three novel fitting schemes were developed and compared with established methods such as center of mass, three-point Gaussian fit estimator and a least-square fit method. The new methods consist of two variations of a four point gaussian estimator and a variation of the conventional least-squares fit estimator. The new methods eliminate the bias error due to pixel discretization, thus significantly reducing the total error in the position and sizing measurement compared to the classic three point and least squares Gaussian estimators. In addition, the accuracy of the least-squares fits were essentially independent of the true particle diameter and significantly reduced the particle position error compared with current estimation schemes.
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Eckstein, 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.

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A novel Digital Particle Image Velocimetry (DPIV) correlation method is presented using nonlinear filtering techniques coupled with a phase-only filter (POF) generalized cross-correlation (GCC). Error analysis demonstrates the deficiency of the GCC alone to successfully improve measurement accuracy, as shown from a decrease in valid vector detection as well as an increase in bias and RMS errors. The use of spatial filters is commonly argued to be disadvantageous for standard Fourier based cross-correlation analysis [1]. However, here we demonstrate that appropriate spatial filters applied to the GCC provide vastly superior performance. The zeropadding method as well as a new spatial filter derived from the Blackman window is introduced, both of which are able to enhance the vector detection capabilities of the GCC processor. In addition, a Gaussian transform filtering technique is introduced which dramatically increases the subpixel resolution of the GCC processor, alleviating apparent effects of peak-locking. The use of these filters with the GCC is able to provide striking improvements in DPIV image correlation.
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Serio, 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.

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Hafiane, 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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