收稿日期: 2011-11-09
修回日期: 2012-02-20
网络出版日期: 2012-09-25
基金资助
国家科技重大专项基金(No.2011ZX04004-061)；江苏省高校自然科学基金(No.10KJD510008)；苏州市科技支撑计划基金
(No.SG201241)资助
Detection of Small Surface Defects Based on Machine Vision
Received date: 2011-11-09
Revised date: 2012-02-20
Online published: 2012-09-25
何志勇1;2， 孙立宁1;2， 芮延年1 . 一种微小表面缺陷的机器视觉检测方法[J]. 应用科学学报, 2012 , 30(5) : 531 -537 . DOI: 10.3969/j.issn.0255-8297.2012.05.015
This paper proposes an effective method to be used in fast detection of small surface defects. The space domain gradient method is useful to enhance the surface image. However, we show that the Otsu method cannot produce satisfied result in segmenting small defects in a large surface image. To detect small defects and improve the performance of Otsu method, an algorithm based on the distribution of variances of image blocks is developed to search of small defect regions. Analysis and experiments show that the proposed method can be applied for fast detection of small surface defects.
Key words： small surface defects; machine vision; Otsu criterion; image segmentation
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