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Bibliografia
[1] A.E.P. Veldman, J. Gerrits, R. Luppes, “ The numerical simulation of liquid sloshing on
board spacecraft ”, Journal of Computational Physics 224 (2007) 82–99.
[2] G. Iglesias , O.Ib an, A.Castro, “Computer vision applied to wave flume measurements
”, Ocean Engineering 36(2009)1073–1079
[3] Ming Ping Wang, Lu Lu, Huang Jing Huan, “ High precision camera calibration in
vision measurement ”, Optics & Laser Technology 39 (2007) 1413–1420.
[4] Michael A. Sutton, Christopher McFadden, “Development of a methodology for
non-contacting strain measurements in fluid environments using computer vision”, Optics
and Lasers in Engineering 32 (2000) 367-377.
[5] Mark Berman , David Coward , Brian Osborne, “ Thickness measurement and crease
detection of wheat grainsusing stereo vision ”, Pattern Recognition Letters 28 (2007) 1501–
1508.
[6] Nabeel A. Riza, Syed Azer Reza, “ Non-Contact Opto-Fluidics-based Liquid Level
Sensor for Harsh Environments ”, Photonic Information Processing Systems Laboratory.
[7] Atsushi Yamashita, Akira Fujii and Toru Kaneko, “ Three Dimensional Measurement of
Objects in Liquid and Estimation of Refractive Index of Liquid by Using Images of Water
Surface with a Stereo Vision System ”, 2008 IEEE International Conference on
Robotics and Automation Pasadena, CA, USA, May 19-23, 2008.
[8] Kunal J Pithadiya, Chintan K Modi, Jayesh D Chauhan, “ Selecting the Most
Favourable Edge Detection Technique for Liquid Level Inspection in Bottles”, ISSN: 21507988 Vol.3 (2011), pp.034-044.
[9] Weiqi Yuan, Desheng Li, “Measurement of Liquid Interface Based on Vision”,
Proceedings of the 5Ih World Congress on Intelligent Control and Automation. June 15-19.
2004, Hangzhou. PR China
[10] C. Gaber, K. Chetehouna, H. Laurent, “Optical sensor system using computer vision
for the level measurement in oil tankers”, Laboratoire GREYC ENSICAEN – CNRS
[11] Srivatsan Chakravarthy, Rajeev Sharma, and Rangachar Kasturi, ”Noncontact Level
Sensing Technique Using Computer Vision” , IEEE TRANSACTIONS ON
INSTRUMENTATION AND MEASUREMENT, VOL. 51, NO. 2, APRIL 2002.
[12] Patrick Courtney, William R. Crum, Visvanathan Ramesh, “Performance
characterization in computer vision: A guide to best practices”, Computer Vision and Image
Understanding 109 (2008) 305–334.
[13] Konstantinos Papadopoulos, Eleni Koustriava, “Piaget’s water-level task: The impact
of vision on performance” Research in Developmental Disabilities 32 (2011) 2889–289.
[14] Ghassan A. Al-Kindi, Bijan Shirinzadeh, “An evaluation of surface roughness
parameters measurement using vision-based data” International Journal of Machine Tools
& Manufacture 47 (2007) 697–708.
[15] J.J. Eksteen, C. Aldrich, J.S.J. van Deventer, “The significance of flotation froth
appearance for machine vision control”, Int. J. Miner. Process. 48 (1996) 135-158.
[16] C. Aldrich , C. Marais , B.J. Shean , J.J. Cilliers, “Online monitoring and control of
froth flotation systems with machine vision:A review” International Journal of Mineral
Processing 96 (2010) 1–13.
[17] E.S. Gadelmawla, ”Computer vision algorithms for measurement and inspection of
spur gears”, Measurement 44 (2011) 1669–1678.
[18] Ti-Ho Wang, Ming-Chih Lu, Chen-Chien Hsu, “Liquid-level measurement using a
single digital camera”. Measurement 42 (2009) 604–610.
[19] R. BRUNELLI, S. MESSELODI, “ROBUST ESTIMATION OF CORRELATION
WITH APPLICATIONS TO COMPUTER VISION ”, Pattern Recognition, Vol. 28, No. 6,
pp. 833-841, 1995.
[20] G. Boschetti, D. Richiedei, A. Trevisani, “Delayed reference control for multi-degreeof-freedom elastic systems: Theory and experimentation”, Control Engineering Practice 19
(2011) 1044–1055.
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