On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection

被引：69

作者：

Medeiros, Fatima N. S. ^{[1
]}

Ramalho, Geraldo L. B. ^{[2
]}

Bento, Mariana P. ^{[1
]}

Medeiros, Luiz C. L. ^{[3
]}

机构：

[1] Univ Fed Ceara, Teleinformat Engn Dept, Fortaleza, Ceara, Brazil

[2] Fed Inst Educ Sci & Technol Ceara, BR-61925315 Maracanau, CE, Brazil

[3] Petroleo Brasileiro SA, LUBNOR IE, BR-60180420 Fortaleza, Ceara, Brazil

来源：

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING | 2010年

关键词：

CLASSIFICATION;

D O I：

10.1155/2010/817473

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a methodology for automatic corrosion detection in digital images of carbon steel storage tanks and pipelines from a petroleum refinery. The database consists of optical digital images taken from equipments exposed to marine atmosphere during their operational life. This new approach focuses on color and texture descriptors to accomplish corroded and noncorroded surface area discrimination. The performance of the proposed corrosion descriptors is evaluated by using Fisher linear discriminant analysis (FLDA). This approach presents two main advantages: No refinery stoppages are required and potential-related catastrophes can be prevented.

引用

页数：7

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