INSPECTION OF METALLIC SURFACES USING LOCAL BINARY PATTERNS

被引：0

作者：

Mansano, M. ^{[1
]}

Pavesi, L. ^{[2
]}

Oliveira, L. S. ^{[1
]}

Britto, A., Jr. ^{[3
]}

Koerich, A. ^{[1
]}

机构：

[1] Univ Fed Parana, BR-80060000 Curitiba, Parana, Brazil

[2] Fed Univ Technol Parana UTFPR, Curitiba, Brazil

[3] State Univ Ponta Grossa UEPG, Ponta Grossa, Brazil

来源：

IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2011年

关键词：

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper we propose the use of a texture feature called Linear Binary Patterns to inspect steal surfaces. To assess the proposed method, we have build two different databases. The first one contains 996 color images of steel bars illuminated with black light, where the defects were highlighted using penetrating liquid. The second dataset is composed of 1141 gray-scale images of steel bars without highlight. Comprehensive experiments using three different classifiers show that the proposed feature set is able to detect 91.5% and 95.6% of the defects on the first and second databases, respectively.

引用

页码：2227 / 2231

页数：5

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