A flexible Implementation of Maximum-Homogeneity Filtering for 2-D and 3-D Images

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Nonlinear edge-preserving filtering techniques have long; been popular in image processing. One of these techniques, the maximum-homogeneity filter, has shown promise for reducing random noise, sharpening blurred regional borders, and removing unwanted thin artifacts. Unfortunately, previous authors have only defined the maximum-homogeneity filter for fixed circumstances. We define, for both three-dimensional and two-dimensional images, a more flexible implementation of the maximum-homogeneity filter. The implemen tation, based on a mathematically defined “spotlight” operator, per mits varying levels of region sharpening and artifact removal.

Original languageEnglish (US)
Pages (from-to)2325-2331
Number of pages7
JournalIEEE Transactions on Signal Processing
Volume39
Issue number10
DOIs
StatePublished - Oct 1991

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Image processing

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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A flexible Implementation of Maximum-Homogeneity Filtering for 2-D and 3-D Images. / Higgin, William E.

In: IEEE Transactions on Signal Processing, Vol. 39, No. 10, 10.1991, p. 2325-2331.

Research output: Contribution to journalArticle

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