CCD noise filtering based on surface diffusion model combined with min/max curvature

Suk Ho Lee, Moon Gi Kang, Kyu Tae Park

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In this paper, we propose to combine the min/max curvature to the surface diffusion model. The resulting technique is an automatic, extremely robust, computationally efficient, and a straightforward scheme. The flow under min/max curvature was presented by R. Malladi and J. A. Sethian in a differential equation in terms of the image intensity. If it is combined to the surface diffusion model then the new scheme automatically picks the termination criteria; continued application of the scheme produces no further change. In other words it has a convergence state. It has another important advantage over the MCD (mean curvature diffusion) and other diffusion models; removing notch noises on the side of a structure does not diffuse the shape of the structure.

Original languageEnglish
Pages272-275
Number of pages4
Publication statusPublished - 1997
EventProceedings of the 1997 IEEE International Symposium on Consumer Electronics, ISCE'97 - Singapore, Singapore
Duration: 1997 Dec 21997 Dec 4

Other

OtherProceedings of the 1997 IEEE International Symposium on Consumer Electronics, ISCE'97
CitySingapore, Singapore
Period97/12/297/12/4

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'CCD noise filtering based on surface diffusion model combined with min/max curvature'. Together they form a unique fingerprint.

  • Cite this

    Lee, S. H., Kang, M. G., & Park, K. T. (1997). CCD noise filtering based on surface diffusion model combined with min/max curvature. 272-275. Paper presented at Proceedings of the 1997 IEEE International Symposium on Consumer Electronics, ISCE'97, Singapore, Singapore, .