Pitting corrosion evaluation by computer image processing

D. Itzhak; I. Dinstein; T. Zilberberg

doi:10.1016/0010-938X(81)90059-7

Pitting corrosion evaluation by computer image processing

D. Itzhak, I. Dinstein, T. Zilberberg

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

58 Scopus citations

Abstract

Pitting corrosion of AISI 304L stainless steel in a solution of FeCl₃ is evaluated by computer image processing methods. Pitting probability and histograms of pit-areas are computed. Pitting probability is defined as the ratio of pitted area over the total area. The pitting probability in this work was found to be 9.73%. Computer image processing is shown to be a promising tool for statistical evaluation of pitting corrosion.

Original language	English
Pages (from-to)	17-22
Number of pages	6
Journal	Corrosion Science
Volume	21
Issue number	1
DOIs	https://doi.org/10.1016/0010-938X(81)90059-7
State	Published - 1 Jan 1981

ASJC Scopus subject areas

General Chemistry
General Chemical Engineering
General Materials Science

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10.1016/0010-938X(81)90059-7

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title = "Pitting corrosion evaluation by computer image processing",

abstract = "Pitting corrosion of AISI 304L stainless steel in a solution of FeCl3 is evaluated by computer image processing methods. Pitting probability and histograms of pit-areas are computed. Pitting probability is defined as the ratio of pitted area over the total area. The pitting probability in this work was found to be 9.73%. Computer image processing is shown to be a promising tool for statistical evaluation of pitting corrosion.",

author = "D. Itzhak and I. Dinstein and T. Zilberberg",

year = "1981",

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AU - Dinstein, I.

AU - Zilberberg, T.

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N2 - Pitting corrosion of AISI 304L stainless steel in a solution of FeCl3 is evaluated by computer image processing methods. Pitting probability and histograms of pit-areas are computed. Pitting probability is defined as the ratio of pitted area over the total area. The pitting probability in this work was found to be 9.73%. Computer image processing is shown to be a promising tool for statistical evaluation of pitting corrosion.

AB - Pitting corrosion of AISI 304L stainless steel in a solution of FeCl3 is evaluated by computer image processing methods. Pitting probability and histograms of pit-areas are computed. Pitting probability is defined as the ratio of pitted area over the total area. The pitting probability in this work was found to be 9.73%. Computer image processing is shown to be a promising tool for statistical evaluation of pitting corrosion.

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DO - 10.1016/0010-938X(81)90059-7

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Pitting corrosion evaluation by computer image processing

Abstract

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