| 半导体器件图象阈值选取方法的研究及算法实现 |
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| 引用本文： | 梅军,罗翔,史金飞,王丹. 半导体器件图象阈值选取方法的研究及算法实现[J]. 计算机测量与控制, 2006, 14(3): 409-411 |
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| 作者姓名： | 梅军 罗翔 史金飞 王丹 |
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| 作者单位： | 东南大学,机械工程系,江苏,南京,210096;江苏大学,机械工程学院,江苏,镇江,212013 |
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| 摘 要： | 图像分割是数字图象处理中的一个重要问题；基于阈值选取方法的半导体器件的图象分割，具有较高的运算效率；文中针对常见阈值选取方法的具体使用情况进行了比较研究，并提出了具体算法实现，最后提出最佳的处理算法；实验结果表明该算法能够有效提高图象分割的质量，从而提高了半导体器件检测的正确率和自动化程度。
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| 关 键 词： | 半导体器件 阈值 图象处理 |
| 文章编号： | 1671-4598（2006）03-0409-03 |
| 收稿时间： | 2005-10-19 |
| 修稿时间： | 2005-11-15 |
Approach on Threshold Selection of Image for Electronic Components Identification |
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| Mei Jun,Luo Xiang,Shi Jinfei,Wang Dan. Approach on Threshold Selection of Image for Electronic Components Identification[J]. Computer Measurement & Control, 2006, 14(3): 409-411 |
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| Authors: | Mei Jun Luo Xiang Shi Jinfei Wang Dan |
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| Affiliation: | 1. Mechanical Engineering , Southeast University , Nanjing 210096, China; 2. Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China |
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| Abstract: | Image segmentation is an important part of digital image processing. Image segmentation of electronic components identification, which is based on selection of image threshold has the feature of high operating efficiency. This paper investigates main differences among these image threshold methods that are used frequently. At the same time, algorithms of implementation are presented. Finally an opritual method is developed. Experiment results show that the method can enhance the quality of image segmentation effectively and improve the accuracy of testing and automation level. |
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| Keywords: | electronic components threshold image processing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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