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Design of Object Location Algorithms and Their Use for Food and Cereals Inspection

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Machine Vision for the Inspection of Natural Products

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15.12 References

  1. Davies E.R. (1997) Machine Vision: Theory, Algorithms, Practicalities, Academic Press, London (2nd edition).

    Google Scholar 

  2. Ballard D.H., Brown C.M. (1982) Computer Vision, Prentice-Hall, Englewood Cliffs, NJ.

    Google Scholar 

  3. Batchelor B.G., Hill D.A., Hodgson, D.C. (1985) Automated Visual Inspection, IFS (Publications) Ltd, Bedford, UK/North Holland, Amsterdam.

    Google Scholar 

  4. Davies E.R. (2000) Image Processing for the Food Industry, World Scientific, Singapore.

    MATH  Google Scholar 

  5. Davies E.R. (1992) Optimal template masks for detecting signals with varying background level, Signal Process. 29,no. 2, 183–189.

    Article  Google Scholar 

  6. Davies E.R. (1997) Vectorial strategy for designing line segment detectors with high orientation accuracy, Electronics Lett. 33,21, 1775–1777.

    Article  Google Scholar 

  7. Davies E.R. and Atiquzzaman, M. (eds) (1998) Special issue on projection-based transforms, Image Vision Comput. 16, nos. 9–10, pp. 593–725.

    Google Scholar 

  8. Davies E.R. (1995) Machine vision in manufacturing — what are the real problems?, Invited paper in Proc. 2nd Int. Conf. on Mechatronics and Machine Vision in Practice, Hong Kong (12–14 Sept.), pp. 15–24.

    Google Scholar 

  9. Davies E.R. (1992) Locating objects from their point features using an optimised Hough-like accumulation technique, Pattern Recogn. Lett. 13,no.2, 113–121.

    Article  Google Scholar 

  10. Ridgway C. and Chambers J. (1996) Detection of external and internal insect infestation in wheat by near-infrared reflectance spectroscopy, J. Sci. Food Agric. 71, 251–264.

    Article  Google Scholar 

  11. Zayas I.Y. and Steele J.L. (1990) Image analysis applications for grain science, Optics in Agric., SPIE 1379, pp. 151–161.

    Google Scholar 

  12. Keefe P.D. (1992) A dedicated wheat grain image analyser, Plant Varieties and Seeds 5, 27–33.

    Google Scholar 

  13. Liao K., Paulsen M.R. and Reid J.F. (1994) Real-time detection of colour and surface defects of maize kernels using machine vision, J. Agric. Eng. Res. 59, 263–271.

    Article  Google Scholar 

  14. Davies E.R., Mason D.R., Bateman M., Chambers J., Ridgway, C. (1998) Linear feature detectors and their application to cereal inspection, Proc. EUSIPCO’98, Rhodes, Greece, 8–11 Sept., pp. 2561–2564.

    Google Scholar 

  15. Davies E.R., Bateman M., Mason D.R., Chambers J., Ridgway, C. (1999) Detecting insects and other dark line features using isotropic masks, Proc. 7th IEE Int. Conf. on Image Processing and its Applications, Manchester (13–15 July), IEE Conf. Publication no. 465, pp. 225–229.

    Google Scholar 

  16. Zayas I.Y. and Flinn P.W. (1998) Detection of insects in bulk wheat samples with machine vision, Trans. Amer. Soc. Agric. Eng. 41,no. 3, 883–888.

    Google Scholar 

  17. Chambers J. (1997) Revealing invertebrate pests in food, Crop protection and food quality: meeting customer needs, Proc. BCPC/ANPP Conf., Canterbury, Kent (16–19 Sept.), pp. 363–370.

    Google Scholar 

  18. Davies E.R., Bateman M., Chambers J., Ridgway C. (1998) Hybrid non-linear filters for locating speckled contaminants in grain, IEE Digest no. 1998/284, Colloquium on Non-Linear Signal and Image Processing, IEE (22 May), pp. 12/1–5.

    Google Scholar 

  19. Haralick R.M., Sternberg S.R., Zhuang, X. (1987) Image analysis using mathematical morphology, IEEE Trans. Pattern Anal. Mach. Intell. 9,no. 4, 532–550.

    Article  Google Scholar 

  20. Davies E.R. (2000) Resolution of problem with use of closing for texture segmentation, Electronics Lett. 36,no.20, 1694–1696.

    Article  Google Scholar 

  21. Davies E.R. (1987) A high speed algorithm for circular object location, Pattern Recogn. Lett. 6,no.5, 323–333.

    Article  Google Scholar 

  22. Davies E.R. (1997) Lower bound on the processing required to locate objects in digital images, Electronics Lett. 33,no.21, 1773–1774.

    Article  Google Scholar 

  23. Davies E.R. (1998) Rapid location of convex objects in digital images, Proc. EUSIPCO’98, Rhodes, Greece, 8–11 Sept., pp. 589–592.

    Google Scholar 

  24. Davies E.R. (1999) Effect of foreground and background occlusion on feature matching for target location, Electronics Lett. 35,no. 11, 887–889.

    Article  Google Scholar 

  25. Davies E.R. (1999) Designing optimal image feature detection masks: the equal area rule, Electronics Lett. 35,no.6, 463–465.

    Article  Google Scholar 

  26. Chan J.P., Batchelor B.G. (1993) Machine vision for the food industry, Chapter 4 in Pinder A.C. and Godfrey G. (1993), pp. 58–101.

    Google Scholar 

  27. Naim M.M., Chan J.P., Huneiti A.M. (1994) Quantifying the learning curve of a vision inspection system, Proc. IEE 4th Int. Conf. on Advanced Factory Automation, York (Nov.), IEE Conf. Publication No.398, pp. 509–516.

    Google Scholar 

  28. Graves M., Smith A., Batchelor B.G. (1998) Approaches to foreign body detection in foods, Trends in Food Science and Technology 9,no. 1, 21–27.

    Article  Google Scholar 

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Davies, E.R. (2003). Design of Object Location Algorithms and Their Use for Food and Cereals Inspection. In: Graves, M., Batchelor, B. (eds) Machine Vision for the Inspection of Natural Products. Springer, London. https://doi.org/10.1007/1-85233-853-9_15

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  • DOI: https://doi.org/10.1007/1-85233-853-9_15

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