Multi-Scale Edge Detection with Bilateral Filtering in Spiral Architecture

Hu, Q., He, S.X. and Zhou, J.

    Real images are often corrupted by noise from various sources. Bilateral filtering is a nonlinear filter that considers intensity variations as well as spatial closeness in the noise smoothing process. It has been demonstrated to have a better edge-preserving quality than linear filters in certain applications. This paper presents the new edge detection algorithm with the application of a bilateral filter in Gaussian form in Spiral Architecture. Spiral Architecture is a relatively new concept in the area of image representation and offers distinctive advantages. The approach to edge detection is multi-scale. Edge maps of the original image and its successively smoothed versions are used to produce the final edge map.
Cite as: Hu, Q., He, S.X. and Zhou, J. (2004). Multi-Scale Edge Detection with Bilateral Filtering in Spiral Architecture. In Proc. 2003 Pan-Sydney Area Workshop on Visual Information Processing (VIP2003), Sydney, Australia. CRPIT, 36. Piccardi, M., Hintz, T., He, S., Huang, M. L. and Feng, D. D., Eds. ACS. 29-32.
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