A Flaw Detection Method Based on Morphological Image Processing

被引：4

作者：

Daut, David G. ^{[1
]}

Zhao, Dongming ^{[2
]}

机构：

[1] Rutgers State Univ, Dept Elect & Comp Engn, Piscataway, NJ 08855 USA

[2] Univ Michigan, Dept Elect & Comp Engn, Dearborn, MI 48128 USA

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | 1993年 / 3卷 / 06期

关键词：

D O I：

10.1109/76.260195

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：

Mathematical morphology provides an efficient tool for image analysis. We study the problem of flaw detection in materials that are represented by very poor-contrast digital images. An algorithm for flaw detection in the case of glass matte surfaces has been developed. The object skeletons within binary-valued images are obtained and directional connectivity information in the skeletons is used to discriminate noise patterns from flaws according to a specified criteria. After the discriminating process, the skeletons that remain correspond to flaws and can be employed to recover the actual shape of the flaws. An alarm flag may arise if the sizes of the detected flaws are found to exceed industrial standards. In the case of a grayscale image, the image is first converted in a binary version using an adaptive threshold algorithm; then the flaw detection algorithm for binary images is applied. Experimental results have been obtained for both binary and grayscale digital image data obtained from imperfect glass samples.

引用

页码：389 / 398

页数：10

共 23 条

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