| 基于形态学和Hough变换的QR码校正与定位方法 |
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| 引用本文： | 卫晋伟,戴曙光,穆平安. 基于形态学和Hough变换的QR码校正与定位方法[J]. 电脑与信息技术, 2010, 18(6): 32-35 |
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| 作者姓名： | 卫晋伟 戴曙光 穆平安 |
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| 作者单位： | 上海理工大学光电信息与计算机工程学院,上海200093 |
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| 摘 要： | 提出一种基于形态学和Hough变换的定位及校正方法。先利用图像形态学的处理方法去除无关的背景信息并提取二维码轮廓,再利用Hough变化检测边缘并提取角点位置,然后通过逆投影校正图像,最后利用位置探测图形进行精确定位。通过实验证明本方法的有效与稳定性。该方法提供了二维码在复杂背景中准确定位的一种新途径。
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| 关 键 词： | QR码 形态学 Hough变换 校正与定位 |
Rectification and Localization of QR Code Image Based on Mathematical Morphology and Hough Transformation |
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| WEI Jin-wei,DAI Shu-guang,MU Ping-an. Rectification and Localization of QR Code Image Based on Mathematical Morphology and Hough Transformation[J]. Computer and Information Technology, 2010, 18(6): 32-35 |
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| Authors: | WEI Jin-wei DAI Shu-guang MU Ping-an |
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| Affiliation: | (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China) |
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| Abstract: | This article proposed a kind of method to identification and location the QR Code Image,which based on Mathematical Morphology and Hough Transformation.In this method,using the morphological image processing methods to remove irrelevant background information and extract the outline of the 2D barcode,then getting the corner position of QR code by Hough transformation,finally,location and rectification the image by the position graphics.Experiments prove that this method is effective and stability.It provides a new method of locating the QR code in a complex background. |
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| Keywords: | QR code mathematical morphology Hough transformation rectification and localization |
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