TEXTURE CRACK DETECTION

被引：35

作者：

SONG, KY ^{[1
]}

PETROU, M ^{[1
]}

KITTLER, J ^{[1
]}

机构：

[1] UNIV SURREY, DEPT ELECT & ELECTR ENGN, VIS SPEECH & SIGNAL PROC RES GRP, GUILDFORD GU2 5XH, SURREY, ENGLAND

来源：

MACHINE VISION AND APPLICATIONS | 1995年 / 8卷 / 01期

关键词：

TEXTURE ANALYSIS; CRACK DETECTION; WIGNER DISTRIBUTION; SURFACE INSPECTION;

D O I：

10.1007/BF01213639

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Automatic visual inspection has become one of the active research issues in machine vision technology in the past decades. Most of the methodologies developed address the problems of defect detection on a nontextured or regularly textured surface. However, problems in detecting defects on a randomly textured surface, especially cracks, have not received much attention. In this paper, we present a novel algorithm that uses a Wigner model to identify cracks in complex textural backgrounds, regardless of whether the inspected surface is randomly or regularly textured. We also investigate the windowing characteristics of the Wigner distribution and their impact on crack detection. Some of the Brodatz' natural texture images have been used for evaluating the performance of the algorithm. Promising results are obtained and presented in this paper.

引用

页码：63 / 75

页数：13

共 25 条

[1]

BASTIAANS MJ, 1979, J OPT SOC AM, V69, P1710, DOI 10.1364/JOSA.69.001710

[2] WIGNER DISTRIBUTION FUNCTION APPLIED TO OPTICAL SIGNALS AND SYSTEMS [J].