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Received:February 07, 2014 Revised:April 02, 2014
Received:February 07, 2014 Revised:April 02, 2014
中文摘要: 主要研究了一种适用于带钢表面图像的缺陷区域分割方法. 首先，对传统的基于边缘检测和全局阈值的缺陷区域分割方法进行研究和比较，然后根据带钢表面缺陷图像的灰度特点，提出了一种基于灰度级形态学增强和自适应阈值的缺陷区域分割方法. 采用本文方法对常见的带钢表面图像进行缺陷区域分割实验，结果表明本文方法的分割效果要优于传统的分割方法. 因此，提出的基于灰度级形态学增强和自适应阈值的缺陷区域分割方法具有一定的实际应用价值.
Abstract:The purpose of this paper is to develop a suitable method for the defect region segmentation of strip surface images. Firstly, the traditional segmentation methods based on edge detection and global thresholding are studied and compared. Then, according to the gray-scale characteristics of strip surface defect images, a new segmentation method is proposed based on gray-scale morphology and adaptive thresholding. Finally, experimental results show the effectiveness of the proposed segmentation method compared with the traditional ones. Therefore, the proposed segmentation method has some practical value.
keywords: strip surface defect segmentation threshold
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基金项目:国家自然科学基金（61304095，51204115）；江苏省自然科学基金（SBK201342210）；江苏省研究生培养创新工程（CXLX12_0807）
引用文本：
谢光伟,仲兆准,钟胜奎,张运诗,漆鹏杰.带钢表面图像缺陷区域的分割方法.计算机系统应用,2014,23(10):239-243
XIE Guang-Wei,ZHONG Zhao-Zhun,ZHONG Sheng-Kui,ZHANG Yun-Shi,QI Peng-Jie.Methods of Defect Region Segmentation for Strip Surface Image.COMPUTER SYSTEMS APPLICATIONS,2014,23(10):239-243
谢光伟,仲兆准,钟胜奎,张运诗,漆鹏杰.带钢表面图像缺陷区域的分割方法.计算机系统应用,2014,23(10):239-243
XIE Guang-Wei,ZHONG Zhao-Zhun,ZHONG Sheng-Kui,ZHANG Yun-Shi,QI Peng-Jie.Methods of Defect Region Segmentation for Strip Surface Image.COMPUTER SYSTEMS APPLICATIONS,2014,23(10):239-243
