Performance verification of the anisotropic diffusion technique for range image smoothing

Manickam Umasuthan, Andrew M. Wallace

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Number of pages11
Publication statusPublished - 1994
Event1994 IEEE LEOS Annual Meeting - Boston, MA, USA
Duration: 31 Oct 19943 Nov 1994


Conference1994 IEEE LEOS Annual Meeting
CityBoston, MA, USA


Dive into the research topics of 'Performance verification of the anisotropic diffusion technique for range image smoothing'. Together they form a unique fingerprint.

Cite this