Have a personal or library account? Click to login
A survey of subpixel edge detection methods for images of heat-emitting metal specimens Cover

A survey of subpixel edge detection methods for images of heat-emitting metal specimens

Open Access
|Sep 2012

References

  1. Adamson, A. and Gast, A. (1997). Physical Chemistry of Surface, Wiley, Hoboken, NJ.
  2. Bachevsky, R. S., Naidich, Y. V., Grygorenko, M. F. and Dostojny, V. A. (1994). Evaluation of errors in automatic image analysis determination of sessile drop shapes, Proceedings of the International Conference on High Temperature Capillarity, Sanremo, Italy, pp. 254-258.
  3. Bailey, D.G. (2005). Sub-pixel profiling, Proceedings of the 5th International Conference on Information Communications and Signal Processing, Bangkok, Thailand, pp. 1311-1315.
  4. Batchelor, B. and Whelan, P. (2002). Intelligent Vision Systems for Industry, http://elm.eeng.dcu.ie/˜whelanp/ivsi/.
  5. Bie, H.X. and Liu C.Y. (2009). Edge-directed sub-pixel and still image super-resolution, Proceedings of the 2nd International Congress on Image and Signal Processing, Tianjin, China, pp. 1-4
  6. Bin, T.J., Lei, A., Jiwen, C., Wenjing, K. and Dandan, L. (2008). Subpixel edge location based on orthogonal Fourier-Mellin moments, Image and Vision Computing 26(4): 563-569.10.1016/j.imavis.2007.07.003
  7. Breder R., Estrela V.-V. and de Assis J.T. (2009). Sub-pixel accuracy edge fitting by means of b-spline, Proceedings of the IEEE International Workshop on Multimedia Signal Processing, Rio De Janeiro, Brazil, pp. 1-5.
  8. Dennis, J.E. andSchnabel, R.B. (1983). Numerical Methods for Unconstrained Optimization and Nonlinear Equations, Prentice Hall, Upper Saddle River, NJ.
  9. Extrand, C.W. and Moon, S.I. (2010). When sessile drops are no longer small: Transitions from spherical to fully flattened, Langmuir 26(14): 11815-11822.10.1021/la1005133
  10. Fabija´nska, A. and Sankowski, D. (2009). Computer vision system for high temperature measurements of surface properties, Machine Vision and Applications 20(6): 411-421.10.1007/s00138-008-0135-1
  11. Fabija´nska, A. and Sankowski, D. (2010). Edge detection with sub-pixel accuracy in images of molten metals, IEEE International Conference on Imaging Systems and Techniques, Thessaloniki, Greece, pp. 186-191.
  12. Gocławski, J., Sekulska-Nalewajko, J., Gajewska, E. and Wielanek, M. (2009). An automatic segmentation method for scanned images of wheat root systems with dark discolourations, International Journal of Applied Mathematics and Computer Science 19(4): 679-689, DOI: 10.2478/v10006-009-0055-x.10.2478/v10006-009-0055-x
  13. Gonzalez, R.C. and Woods, R.E. (2007). Digital Image Processing, 3rd Edn., Prentice Hall, Upper Saddle River, NJ.
  14. Ghosal, S. and Mehrotra, R. (1993). Orthogonal moment operators for subpixel edge detection, Pattern Recognition Letters 26(2): 295-305.10.1016/0031-3203(93)90038-X
  15. Hansen, F.K. (1993). Surface tension by image analysis: Fast and automatic measurements of pendant and sessile drops and bubbles, Journal of Colloid and Interface Science 160(1): 209-217.10.1006/jcis.1993.1386
  16. Huh, C. and Reed, R.L. (1983). A method for estimating interfacial tensions and contact angles from sessile and pendant drop shapes, Journal of Colloid and Interface Science 91(2): 472-484.10.1016/0021-9797(83)90361-2
  17. Ji X., Wang, K. and Wei, Z. (2009). Structured light encoding research based on sub-pixel edge detection, Proceedings of the International Conference on Information Engineering and Computer Science, Wuhan, China, pp. 1-4.
  18. Jin, J.S. (1990). An adaptive algorithm for edge detection with subpixel accuracy in noisy images, Proceedings of the IAPR Workshop on Machine Vision Applications, Tokyo, Japan, pp. 249-252.
  19. Kisworo, M., Venkatesh, S. and West, G. (1991). 2-D edge feature extraction to subpixel accuracy using the generalized energy approach, Proceedings of the IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems, New Delhi, India, pp. 344-348.
  20. Koszmider, T., Strzecha, K., Fabija´nska, A. and Bakala, M. (2011). Algorithm for accurate determination of contact angles in vision system for high temperature measurements of metals and alloys surface properties, in R. Burduk, M. Kurzy´nski, M. Wo´zniak and A. ˙Zołnierek (Eds.), Computer Recognition Systems 4, Advances in Intelligent and Soft Computing, Vol. 95, Springer, Berlin/Heidelberg, pp. 441-448, DOI: 10.1007/978-3-642-20320-6 46. 10.1007/978-3-642-20320-6
  21. Liu, C., Xia Z., Niyokindi, S., Pei, W., Song, J. and Wang, L. (2004). Edge location to sub-pixel value in color microscopic images, Proceedings of the International Conference on Intelligent Mechatronics and Automation, Chengdu, Sichuan, China, pp. 548-551.
  22. Lyvers, E.P., Mitchell, O.R., Akey, M.L. and Reeves, A.P. (1989). Subpixel mesurements using a moment-basededge operator, IEEE Transactions on Pattern Analysis and Machine Intelligence 11(12): 1293-1309.10.1109/34.41367
  23. Machuca, R. and Gilbert, A.L. (1981). Finding edges in noisy scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence 3(1): 103-111.10.1109/TPAMI.1981.476705721868925
  24. MacVicar-Whelan, P.J. and Binford, T.O. (1981). Intensity discontinuity location to subpixel precision, Proceedings of the International Joint Conference on Artificial Intelligence, Vancouver, BC, Canada, pp. 26-31.
  25. MacVicar-Whelan, P.J. and Binford, T.O. (1991). Line finding with subpixel precision, Proceedings of the DARPA Image Understanding Workshop, Washington, DC, USA, pp. 26-31.
  26. Mills, K.C. and Su, Y.C (2006). Review of surface tension data for metallic elements and alloys, Part 1: Pure metals, International Materials Reviews 51(6): 329-351.10.1179/174328006X102510
  27. Nevtia, R. and Babu, K. (1978). Linear feature extraction, Proceedings of the DARPA Image Understanding Workshop, Pittsburgh, PA, USA, pp. 73-78.
  28. Obinata, G. and Dutta, A. (2007). Vision Systems: Applications, I-Tech Education and Publishing, Vienna.10.5772/43
  29. Oskoei, M.A. and Hu, H. (2010). A survey on edge detection methods, Technical Report CES-506, University of Essex, Essex.
  30. Ranky, P. (2003). Advanced machine vision systems and application examples, Sensor Review 23(3): 242-245.10.1108/02602280310481869
  31. Ridler, T. and Calvard, S. (1978). Picture thresholding using an iterative selection method, IEEE Transations on Systems, Man, and Cybernetics 8(8): 630-63210.1109/TSMC.1978.4310039
  32. Rocket, P. (1999). The accuracy of sub-pixel localization in the Canny edge detector, Proceedings of the British Machine Vision Conference, Nottingham, UK, pp. 392-401.
  33. Sankowski, D., Strzecha, K. and Jezewski, S. (2000). Digital image analysis in measurement of surface tension and wettability angle, Proceedings of the International Conference on Modern Problems of Telecommunications, Computer Science and Engineers Training, Lviv/Slavsko, Ukraine, pp. 129-130.
  34. Scott, N. (2010). Remote Sensing Tutorial, http://rst.gsfc.nasa.gov/Sect13/Sect13_2.html.
  35. Senthilkumaran, N. and Rajesh, R. (2009). Edge detection techniques for image segmentation: A survey of soft computing approaches, International Journal of Recent Trends in Engineering 1(2): 250-254.10.1109/ARTCom.2009.219
  36. Sheng, Y. and Shen, L. (1994). Orthogonal Fourier-Mellin moments for invariant pattern recognition, Journal of the Optical Society of America 11(6): 1748-1757.10.1364/JOSAA.11.001748
  37. Sidiropoulos, N.D., Baras, J.S. and Berenstein, C.A. (1992). Discrete random sets: An inverse problem, plus tools for the statistical inference of the discrete Boolean model, Proceedings of SPIE 1769(1):32-43.10.1117/12.60630
  38. Stanke, G., Zedler, L., Zorn, A., Weckend, F. and Weide, H.-G. (1998). Sub-pixel accuracy by optical measurement of large automobile components, Proceedings of the 24th Annual Conference of the IEEE Industrial Electronics Society, Aachen, Germany, pp. 2431-2433.
  39. Steger, C., Ulrich, M. and Wiedemann, C. (2008). Machine Vision Algorithms and Applications, Wiley-VCH, Berlin.
  40. Strzecha, K., Bakala, M., Fabija´nska, A. and Koszmider. T (2010). The evolution of Thermo-Wet: The computerized system for measurements of surface properties, Automatyka 3(14): 525-535, (in Polish).
  41. Tabatabai, A.J. and Mitchell, O.R. (1984). Edge location to subpixel values in digital imagery, IEEE Transactions on Pattern Analysis and Machine Intelligence 6(2): 188-20l.10.1109/TPAMI.1984.476750221869182
  42. Xu, G.S. (2009a). Sub-pixel edge detection based on curve fitting, Proceedings of the 2nd International Conference on Information and Computing Science, Manchester, UK, pp. 373-375.10.1109/ICIC.2009.205
  43. Xu, G.S. (2009b). Linear array CCD image sub-pixel edge detection based on wavelet transform, Proceedings of the 2nd International Conference on Information and Computing Science, Manchester, UK, pp. 204-206.
  44. Yao, Y. and Ju, H. (2009). A sub-pixel edge detection method based on canny operator, Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery, Tianjin, China, pp. 97-100.
DOI: https://doi.org/10.2478/v10006-012-0052-3 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 695 - 710
Published on: Sep 28, 2012
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2012 Anna Fabijańska, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.