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Medical image colorization

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Colorization is a term used to describe a computerized process for adding colour to black and white pictures, movies or TV programs. This process involves replacing a scalar value that represents pixels' intensity or luminance by a vector in a three dimensional colour space with luminance, saturation and hue or simply RGB. The colorization process is also used to convert the grey scale to colour on medical images. Colour increases the visual appeal of an image and it also makes a medical visualization more attractive. Changes in colour are more easily perceived then changes in shades of grey and therefore this procedure makes the interpretation and understanding of the image easier. Since the mapping between intensity and colour has no inherently "correct" solution, human interaction and/or external information usually plays a large role. In this paper we present a novel colorization method that takes advantage of the morphological distance transformation and image structures to automatically propagate the colour scribbled by the user within the grey scale image. The effectiveness of the algorithm allows the user to work interactively and obtain the desired results promptly after providing the colour. In the paper we show that the proposed method allows for high quality colorization results for still images without precise segmentation.
Rocznik
Tom
Strony
47--57
Opis fizyczny
Bibliogr. 10 poz., rys., tab.
Twórcy
  • Silesian University of Technology, 44-100 Gliwice, Akademicka 16, Institute of Computer Science
autor
Bibliografia
  • [1] REINHARD E., ASHIKHMIN M., GOOCH B, and SHIRLEY P., Colour transfer between images. IEEE Computer Graphics and Applications, Vol. 21, No. 5, pp. 34-41, May 2001.
  • [2] WELSH T., ASHIKHMIN M., and MUELLER K., Transferring colour to greyscale images. Proc. ACM SIGGRAPH Conf., 2002, pp. 277-280.
  • [3] PAN Z., DONG Z., and ZANG M., A new algorithm for adding colour to video and animation clips. Proc. WSCG, International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2004, pp. 515-519.
  • [4] LEVIN A., LISCHINSKI D., and WEISS Y., Colorization using optimization. Proc. ACM SIGGRAPH Conf., 2004, pp. 689-694.
  • [5] MADEIRA J. S., STORK A., and GROB M. H., An approach to computer supported cartooning. The Visual Computer, Vol. 12, 1996, pp. 1-17.
  • [6] HORIUCHI T., Colorization algorithm for grey-level image by probabilistic relaxation. Proc. IEEE International Conference on Pattern Recognition, 2003, pp. 867-870.
  • [7] YATZIV L., and SAPIRO G, Fast image video colorization using chrominance blending. IEEE Transactions on Image Processing, Vol. 15, May 2006, pp. 1120-1129.
  • [8] KLETTE R., and ROSENFELD A., Digital geometry – Geometric methods for digital picture analysis. Morgan Kauffman, 2004.
  • [9] TAIVONEN P. J., New geodesic distance transform for grey-scale images. Elsevier – Pattern Recognition Letters, Vol. 17, 1995, pp. 437-450.
  • [10] LI. Y., LIZHUANG M., and DI W., Fast colorization using edge and gradient constraints. Proc. of the 15th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2007, pp. 309-316.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0007-0004
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