A "small leakage" model for diffusion smoothing of image data

Authors:
Li-Dong Cai
Affiliations:
Department of Artificial Intelligence, University of Edinburgh, Edinburgh, UK
Venue:
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Year:
1989

Citing 8
Cited 0

Implicit convolution

Image and Vision Computing
Invariant surface characteristics for 3D object recognition in range images

Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Uniqueness of the Gaussian Kernel for Scale-Space Filtering

IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Picture Processing

Digital Picture Processing
Some Notes on Repeated Averaging Smoothing

Proceedings of the 4th International Conference on Pattern Recognition
Scaling Theorems for Zero-Crossings

Scaling Theorems for Zero-Crossings
Computing Visible-Surface Representations

Computing Visible-Surface Representations
Finding Edges and Lines in Images

Finding Edges and Lines in Images

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, an implicit numerical scheme of diffusion smoothing is given for both intensity and depth images, which uses a changeable time step to reduce the computation. Emphasised is a "small leakage" diffusion model as an efficient way to maintain both boundary position and curvature signs along the surface boundary in smoothing, which will be useful for approximation and segmentation of sculptured surfaces.