Fast nonlinear diffusion approach for object segmentation

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Fast nonlinear diffusion approach for object segmentation

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Published

A low-complexity anisotropic diffusion technique for smoothing textures preserving object contours is presented. Additional features such as disparity or motion can be used to control the evolution of the intensity diffusion. Drastic simplifications in the iterative diffusion process are also introduced to reduce the algorithmic complexity.

Inspec keywords: smoothing methods; iterative methods; image segmentation; diffusion; image texture

Other keywords: disparity; anisotropic diffusion; texture smoothing; iterative algorithm; nonlinear diffusion; motion; object segmentation

Subjects: Optical information, image and video signal processing

References

    1. 1)
      • L. Alvarez , P.L. Lions , J.M. Morel . Image selective smoothing and edge detection by nonlinear diffusion. II. SIAM J. Numer. Anal. , 3 , 845 - 866
    2. 2)
      • Izquierdo, E., Karl, M.: `Low complexity disparity estimation and object-based image synthesis for multi-viewpoint stereoscopic videoconferencing', MVA96, Proc. IAPR Workshop on Machine Vision Applications, 1996, Tokyo, p. 196–199.
    3. 3)
      • J.R. Ohm , E. Izquierdo . An object-based system for stereoscopic viewpoint synthesis. IEEE Trans. Circuits and Systems for Video Technology , 801 - 811
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19981324
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