Contour Detection for Industrial Image Processing by Means of Level Set Methods

被引：0

作者：

Marot, J. ^{[1
]}

Caulier, Y. ^{[1
]}

Kuleschov, A. ^{[1
]}

Spinnler, K. ^{[1
]}

Bourennane, S. ^{[2
]}

机构：

[1] Fraunhofer Inst IIS, Wolfsmantel 33, D-91058 Erlangen, Germany

[2] Univ Paul Cezanne, Ecole Cent Marseille, Inst Fresnel, CNRS UMR 6133, F-13013 Marseille, France

来源：

ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS | 2008年 / 5259卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We consider the problem of the automatic inspection of industrial metal pieces. The purpose of the work presented in this paper is to derive a method for defect detection. For the first time in this context we adapt level set method to distinguish hollow regions in the metal pieces from the grinded surface. We compare this method with Canny OF edge enhancement and with a thresholding method based on histogram Computation. The experiments performed on two industrial images show that the proposed method retrieves correctly fuzzy contours and is robust against noise.

引用

页码：655 / +

页数：3

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