| 基于数学形态学的像增强器缺陷的图像检测方法 |
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| 引用本文： | 王吉晖,金伟其,王霞,高岳,高稚允.基于数学形态学的像增强器缺陷的图像检测方法[J].光学技术,2005,31(3):463-464. |
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| 作者姓名： | 王吉晖 金伟其 王霞 高岳 高稚允 |
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| 作者单位： | 北京理工大学,信息科学技术学院光电工程系,北京,100081 |
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| 摘 要： | 介绍了一种利用图像阈值分割和数学形态学噪声处理的像增强器缺陷的检测方法,通过对阈值分割二值化后的缺陷图像进行形态滤波,达到了自动检测缺陷的目的。该方法不受缺陷形状和位置的影响,能够快速准确的识别出其缺陷,自动判别缺陷的准确性和实际用人眼观察缺陷的结果相一致。实验结果证明了该方法在实际应用中的可行性。
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| 关 键 词： | 缺陷 阈值分割 数学形态学 |
| 文章编号： | 1002-1582(2005)-0463-02 |
| 修稿时间： | 2004年6月5日 |
Flaw inspection method for image tube based on image processing |
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| WANG Ji-hui,JIN Wei-qi,WANG Xia,GAO Yue,GAO Zhi-yun.Flaw inspection method for image tube based on image processing[J].Optical Technique,2005,31(3):463-464. |
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| Authors: | WANG Ji-hui JIN Wei-qi WANG Xia GAO Yue GAO Zhi-yun |
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| Abstract: | A flaw inspection method for image tube is introduced based on threshold segmentation of image and morphological filter of mathematical morphology. The algorithm realized automatic flaw inspection of image tube through filtering the binary image by morphological filter, after processed by threshold segmentation. The result inspected by image processing is the same with eyes. The results of experiments proved the efficiency of the proposed approach in practical applications. |
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| Keywords: | flaw threshold segmentation mathematical morphology |
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