Performance verification of the anisotropic diffusion technique for range image smoothing

Manickam Umasuthan; Andrew M. Wallace

doi:10.1117/12.189116

13 October 1994 Performance verification of the anisotropic diffusion technique for range image smoothing

Manickam Umasuthan, Andrew M. Wallace

Proceedings Volume 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision; (1994) https://doi.org/10.1117/12.189116
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

Discontinuity preserving smoothing is very important for the reliable extraction of features such as edge maps and surface patches from range images. In this paper, we propose a modification of Perona and Malik's anisotropic diffusion algorithm for range image surface characterization. Perona and Malik's scheme has several practical and theoretical difficulties. The main difficulty arises when the signal is noisy. Since this introduces in theory unbounded oscillations of the gradient. Thus the conditional smoothing introduced by the model will not help. We propose a method which avoids the difficulty and use an efficient implicit scheme to solve the resulting partial differential equation. The proposed algorithm is robust in the presence of noise and is very useful for the segmentation of range images into surface patches and edge maps. A number of experimental results obtained by applying the algorithm on synthetic and real images are presented.

Citation Download Citation

Manickam Umasuthan and Andrew M. Wallace "Performance verification of the anisotropic diffusion technique for range image smoothing", Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); https://doi.org/10.1117/12.189116

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KEYWORDS

Smoothing

Diffusion

Anisotropic diffusion

Image segmentation

Convolution

Binary data

Image processing algorithms and systems

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