SOME NEW IMAGE SMOOTHING TECHNIQUES.

Ann Scher; Flavio R. Dias Velasco; Azriel Rosenfeld

doi:10.1109/tsmc.1980.4308454

SOME NEW IMAGE SMOOTHING TECHNIQUES.

Ann Scher^*
, Flavio R. Dias Velasco
, Azriel Rosenfeld

^*Corresponding author for this work

Epidemiology and Biostatistics

Research output: Contribution to journal › Article › peer-review

35 Scopus citations

Abstract

A collection of new techniques for image smoothing is documented, and examples are given of their performance. The techniques involve averaging over half-neighborhoods, weighted averaging, and averaging based on local property probabilities. A few of the methods seem to work extremely well; but the weighted averaging schemes do little noise cleaning, while the probability schemes do not preserve edges sharply.

Original language	English
Pages (from-to)	153-158
Number of pages	6
Journal	IEEE Transactions on Systems, Man and Cybernetics
Volume	SMC-10
Issue number	3
DOIs	https://doi.org/10.1109/tsmc.1980.4308454
State	Published - 1980

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10.1109/tsmc.1980.4308454

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title = "SOME NEW IMAGE SMOOTHING TECHNIQUES.",

abstract = "A collection of new techniques for image smoothing is documented, and examples are given of their performance. The techniques involve averaging over half-neighborhoods, weighted averaging, and averaging based on local property probabilities. A few of the methods seem to work extremely well; but the weighted averaging schemes do little noise cleaning, while the probability schemes do not preserve edges sharply.",

author = "Ann Scher and \{Dias Velasco\}, \{Flavio R.\} and Azriel Rosenfeld",

year = "1980",

doi = "10.1109/tsmc.1980.4308454",

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AU - Dias Velasco, Flavio R.

AU - Rosenfeld, Azriel

PY - 1980

Y1 - 1980

N2 - A collection of new techniques for image smoothing is documented, and examples are given of their performance. The techniques involve averaging over half-neighborhoods, weighted averaging, and averaging based on local property probabilities. A few of the methods seem to work extremely well; but the weighted averaging schemes do little noise cleaning, while the probability schemes do not preserve edges sharply.

AB - A collection of new techniques for image smoothing is documented, and examples are given of their performance. The techniques involve averaging over half-neighborhoods, weighted averaging, and averaging based on local property probabilities. A few of the methods seem to work extremely well; but the weighted averaging schemes do little noise cleaning, while the probability schemes do not preserve edges sharply.

UR - https://www.scopus.com/pages/publications/0018995419

U2 - 10.1109/tsmc.1980.4308454

DO - 10.1109/tsmc.1980.4308454

M3 - Article

AN - SCOPUS:0018995419

SN - 0018-9472

VL - SMC-10

SP - 153

EP - 158

JO - IEEE Transactions on Systems, Man and Cybernetics

JF - IEEE Transactions on Systems, Man and Cybernetics

IS - 3

ER -

SOME NEW IMAGE SMOOTHING TECHNIQUES.

Abstract

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