Abstract
In the early nineties, the research team at the National Centre for Engineering in Agriculture established a reputation for vision-based automated guidance of agricultural vehicles.[4] This work has a new lease of life with recent funding. A succession of further vision projects have been somewhat unusual, ranging from the visual identification of animal species for the culling of feral pigs to visionbased counting of macadamia nuts. A unifying feature is the easy availability of low-cost cameras and a framework for integrating analysis software using DirectX ‘filters’. Machine vision has changed from its earlier status as a sophisticated and expensive technology to a low-cost solution for more general instrumentation.
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References
J. Billingsley, “The Counting of Macadamia Nuts”, Mechatronics and Machine Vision 2002: Current Practice, Research Studies Press Ltd. ISBN 0-86380-278-8, pp. 221–7.
J. Billingsley and A.A. Hosseinmardi, “A low-cost vision system for robotics”, Proc. British Association meeting, Brighton, August 1983.
J. Billingsley and A.A. Hosseinmardi, “Low cost vision for robots – a pragmatic approach”, IEE Colloquium (Digest), n. 1983/65, 1983, p. 3.1–3.2.
J. Billingsley and M. Schoenfisch, “Vision and Mechatronics Applications at the NCEA”, Fourth IARP workshop on Robotics in Agriculture and the Food Industry, Toulouse.
J. Billingsley and K. Withers, “Measuring the density of dingo teeth with machine vision”, Sensor Review, v. 24, n. 4, 2004, p. 361–363.
E.R. Davies, Machine Vision Theory Algorithms, Practicalities (3rd ed.). Elsevier.
M. Dunn and J. Billingsley, “A Machine Vision System for Surface Texture Measurements of Citrus”, Proceedings 11th IEEE conference on Mechatronics and Machine Vision in Practice, Macau, November 2004, pp. 73–76.
M. Dunn, J. Billingsley and N. Finch, “Machine Vision Classification of Animals”, Mechatronics and Machine Vision 2003:Future trends, pub Research Studies Press Ltd, Baldock, UK, ISBN 0 86380 290 7, pp. 157–163.
M. Dunn, J. Billingsley, S. Raine and A. Piper, “Using Machine Vision for Objective Evaluation of Ground Cover on Sporting Fields”, Proceedings 11th IEEE conference on Mechatronics and Machine Vision in Practice, Macau, November 2004. pp 88–91.
V. Kindratenko, “On Using Functions to Describe the Shape”, Journal of Mathematical Imaging and Vision, vol. 18, no. 3, pp. 225–45.
R. Leach, The Measurement of Surface Texture using Stylus Instruments. 2001, National Physixs Laboratory: London. p. 79.
S. McCarthy and J. Billingsley, “A sensor for the sugar cane harvester topper”, Sensor Review, v. 22, n. 3, 2002, p. 242–246.
J. Seccombe, “Sustainability of the Great Artesian Basin”, Proc. of Academy Symposium, Canberra, Australia.
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Billingsley, J. (2008). More Machine Vision Applications in the NCEA. In: Billingsley, J., Bradbeer, R. (eds) Mechatronics and Machine Vision in Practice. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74027-8_28
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DOI: https://doi.org/10.1007/978-3-540-74027-8_28
Publisher Name: Springer, Berlin, Heidelberg
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