PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Cost-effective image acquisition system for precise PC-based measurement

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
System akwizycji obrazu w pomiarach z wykorzystaniem komputera
Języki publikacji
EN
Abstrakty
EN
Image sensors based on the CMOS technology became commonly used sources of image information in PC-based vision systems. Image information is converted directly on the chip to a stream of synchronous digital data which can be transferred to a PC using the cost-effective interface introduced in this contribution. The CMOS image sensor together with the developed interface can be considered as a simple image acquisition system - USB camera matching all features of distributed image acquisition and processing model described in this article. Concept of the USB camera is enhanced by additional data merged with each image frame transferred to the PC. This feature makes the developed device suitable for tasks where the precise timing of image acquisition together with an external synchronization is required. Based on the VHDL model of the used CMOS image sensor and the designed PC interface with the USB driver, the critical timing and maximal USB data throughput limitations are analyzed and discussed.
PL
Informacja o obrazie z czujnika obrazu typu CMOS jest bezpośrednio przetwarzana w strumień transferowany do komputera. Kamera USB może być traktowana jako system pobierania i przetwarzania informacji. W artkule analizowany jest taki system, a szczególnie timing i szybkość przepływu danych.
Rocznik
Strony
259--263
Opis fizyczny
Bibliogr. 12 poz., rys., tab., wykr.
Twórcy
autor
autor
autor
Bibliografia
  • [1] Suzuki, Y.; Gai, T.; Yamakawa, M.; Sugiura, H.; , "NTSC/PAL/SECAM digital video decoder with high-precision resamplers,", IEEE Transactions on Consumer Electronics, vol.51, no.1, pp. 287- 294, Feb. 2005, doi: 10.1109/TCE.2005.1405734
  • [2] KHAN, U. S.; IQBAL, J.; KHAN, M. A.,”Automatic Inspection System Using Machine Vision”, In Proceedings of the 34th Applied Imagery and Pattern Recognition Workshop, IEEE Computer Society, pp. 210-217, doi= 10.1109/AIPR.2005.20
  • [3] Albert J.P. Theuwissen, “CMOS image sensors: State-of-theart”, Solid-State Electronics, Volume 52, Issue 9, Elsevier, ISSN 0038-1101, pp. 1401-1406, doi:10.1016/j.sse.2008.04.012.
  • [4] Nitta, S.; Tanaka, K.; , "A 79 dB-SNR 70 mW 18 MHz CCD front-end with fully-digital amplification scheme,", IEEE Transactions on Consumer Electronics , vol.47, no.3, pp.459- 465, Aug 2001, doi: 10.1109/30.964134
  • [5] El Gamal, A.; Eltoukhy, H.; , "CMOS image sensors," Circuits and Devices Magazine, IEEE , vol.21, no.3, pp. 6- 20, May- June 2005, doi: 10.1109/MCD.2005.1438751
  • [6] JUAN, F. MARTIN; LUCIANO CHIANG, ”Cost Effective Vision System for Mobile Robots”, p. 43, XII International Conference of the Chilean Computer Science Society (SCCC'02), 2002
  • [7] Abate, L.; Ramponi, G.,”Measurement of the blocking artefact in video frames”, 15th IEEE Mediterranian Electromechanical Conference, Malta, 2010, ISBN: 978-1-4244-5794-6, pp. 218 – 223
  • [8] De Santo, M.; Liguori, C.; Pietrosanto, A., "Uncertainty characterization in image-based measurements: a preliminary discussion", Transactions on Instrumentation and Measurement, Oct 2000, vol.49, no.5, pp.1101-1107, doi: 10.1109/19.872937
  • [9] Krajčovičová, E.; Martinková, M.; Konopková, R.; Fejtová, M.; Otáhal, J.,”Powerful Software for Image Acquisition and Its Processing”, In: Physiological Research vol. 57, num. 4, 2008, p. 80P. ISSN 0862-8408.
  • [10] Kim, Sanghoon; Willett, J. L.; "An optical microscope for the study of biopolymer solutions under shear field," Review of Scientific Instruments, vol.72, no.11, pp.4252-4260, Nov 2001, doi: 10.1063/1.1412263
  • [11] Furuta, M.; Nishikawa, Y.; Inoue, T.; Kawahito, S., "A High- Speed, High-Sensitivity Digital CMOS Image Sensor With a Global Shutter and 12-bit Column-Parallel Cyclic A/D Converters,", IEEE Journal of Solid-State Circuits, vol.42, no.4, pp.766-774, April 2007, doi: 10.1109/JSSC.2007.891655
  • [12] Třeštík, J.; Fischer, J.,”The Optimal Threshold Algorithm and Canny Based Edge Detection in Optical Area and Dimension Measurement”, 16th IMEKO TC4 International Symposium, 2008, p. 737-742. ISBN 978-88-903149-3-3.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA7-0046-0005
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.