A survey of subpixel edge detection methods for images of heat-emitting metal specimens
By: Anna Fabijańska
References
- Adamson, A. and Gast, A. (1997)., Wiley, Hoboken, NJ.
- 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,, pp. 254-258.
- Bailey, D.G. (2005). Sub-pixel profiling,, pp. 1311-1315.
- Batchelor, B. and Whelan, P. (2002)., http://elm.eeng.dcu.ie/˜whelanp/ivsi/.
- Bie, H.X. and Liu C.Y. (2009). Edge-directed sub-pixel and still image super-resolution,, pp. 1-4
- Bin, T.J., Lei, A., Jiwen, C., Wenjing, K. and Dandan, L. (2008). Subpixel edge location based on orthogonal Fourier-Mellin moments,(4): 563-569.
- Breder R., Estrela V.-V. and de Assis J.T. (2009). Sub-pixel accuracy edge fitting by means of b-spline,, pp. 1-5.
- Dennis, J.E. andSchnabel, R.B. (1983)., Prentice Hall, Upper Saddle River, NJ.
- Extrand, C.W. and Moon, S.I. (2010). When sessile drops are no longer small: Transitions from spherical to fully flattened,(14): 11815-11822.
- Fabija´nska, A. and Sankowski, D. (2009). Computer vision system for high temperature measurements of surface properties,(6): 411-421.
- Fabija´nska, A. and Sankowski, D. (2010). Edge detection with sub-pixel accuracy in images of molten metals,, pp. 186-191.
- 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,(4): 679-689, DOI: 10.2478/v10006-009-0055-x.
- Gonzalez, R.C. and Woods, R.E. (2007).3rd Edn., Prentice Hall, Upper Saddle River, NJ.
- Ghosal, S. and Mehrotra, R. (1993). Orthogonal moment operators for subpixel edge detection,(2): 295-305.
- Hansen, F.K. (1993). Surface tension by image analysis: Fast and automatic measurements of pendant and sessile drops and bubbles,(1): 209-217.
- Huh, C. and Reed, R.L. (1983). A method for estimating interfacial tensions and contact angles from sessile and pendant drop shapes,(2): 472-484.
- Ji X., Wang, K. and Wei, Z. (2009). Structured light encoding research based on sub-pixel edge detection,, pp. 1-4.
- Jin, J.S. (1990). An adaptive algorithm for edge detection with subpixel accuracy in noisy images,, pp. 249-252.
- Kisworo, M., Venkatesh, S. and West, G. (1991). 2-D edge feature extraction to subpixel accuracy using the generalized energy approach,, pp. 344-348.
- 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,R. Burduk, M. Kurzy´nski, M. Wo´zniak and A. ˙Zołnierek (Eds.),, Advances in Intelligent and Soft Computing, Vol. 95, Springer, Berlin/Heidelberg, pp. 441-448, DOI: 10.1007/978-3-642-20320-6 46.
- Liu, C., Xia Z., Niyokindi, S., Pei, W., Song, J. and Wang, L. (2004). Edge location to sub-pixel value in color microscopic images,, pp. 548-551.
- Lyvers, E.P., Mitchell, O.R., Akey, M.L. and Reeves, A.P. (1989). Subpixel mesurements using a moment-basededge operator,(12): 1293-1309.
- Machuca, R. and Gilbert, A.L. (1981). Finding edges in noisy scenes,(1): 103-111.
- MacVicar-Whelan, P.J. and Binford, T.O. (1981). Intensity discontinuity location to subpixel precision,, pp. 26-31.
- MacVicar-Whelan, P.J. and Binford, T.O. (1991). Line finding with subpixel precision,, pp. 26-31.
- Mills, K.C. and Su, Y.C (2006). Review of surface tension data for metallic elements and alloys, Part 1: Pure metals,(6): 329-351.
- Nevtia, R. and Babu, K. (1978). Linear feature extraction,, pp. 73-78.
- Obinata, G. and Dutta, A. (2007)., I-Tech Education and Publishing, Vienna.
- Oskoei, M.A. and Hu, H. (2010). A survey on edge detection methods,, University of Essex, Essex.
- Ranky, P. (2003). Advanced machine vision systems and application examples,(3): 242-245.
- Ridler, T. and Calvard, S. (1978). Picture thresholding using an iterative selection method,(8): 630-632
- Rocket, P. (1999). The accuracy of sub-pixel localization in the Canny edge detector,, pp. 392-401.
- Sankowski, D., Strzecha, K. and Jezewski, S. (2000). Digital image analysis in measurement of surface tension and wettability angle,, pp. 129-130.
- Scott, N. (2010)., http://rst.gsfc.nasa.gov/Sect13/Sect13_2.html.
- Senthilkumaran, N. and Rajesh, R. (2009). Edge detection techniques for image segmentation: A survey of soft computing approaches,(2): 250-254.
- Sheng, Y. and Shen, L. (1994). Orthogonal Fourier-Mellin moments for invariant pattern recognition,(6): 1748-1757.
- 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,(1):32-43.
- Stanke, G., Zedler, L., Zorn, A., Weckend, F. and Weide, H.-G. (1998). Sub-pixel accuracy by optical measurement of large automobile components,, pp. 2431-2433.
- Steger, C., Ulrich, M. and Wiedemann, C. (2008)., Wiley-VCH, Berlin.
- Strzecha, K., Bakala, M., Fabija´nska, A. and Koszmider. T (2010). The evolution of Thermo-Wet: The computerized system for measurements of surface properties,(14): 525-535, (in Polish).
- Tabatabai, A.J. and Mitchell, O.R. (1984). Edge location to subpixel values in digital imagery,(2): 188-20l.
- Xu, G.S. (2009a). Sub-pixel edge detection based on curve fitting,, pp. 373-375.
- Xu, G.S. (2009b). Linear array CCD image sub-pixel edge detection based on wavelet transform,, pp. 204-206.
- Yao, Y. and Ju, H. (2009). A sub-pixel edge detection method based on canny operator,, pp. 97-100.
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
Related subjects:
© 2012 Anna Fabijańska, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.