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Research of the QR Code Based on Image Preprocessing

机译:基于图像预处理的QR码研究

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摘要

With the development of information technology, the QR code technology in the application of information technology industry has become more and more widely, its action also is particularly important. In modern business activities, with the popularity of smart phones and all kinds of mobile intelligent device, which can realize the application is very extensive. But in practice, influenced by acquisition equipment, collections of images tend to have all kinds of noise, affect later decoding result. Late in order to decode the reliability and stability, based on the smart phone and mobile equipment acquisition have shadows and space of tilt of the QR code image as an example, discusses the gray, filtering, binaryzation, edge detection and image preprocessing technology such as geometric correction. Especially the closing operations in the application of morphology in image processing on the image to get rid of the shadow and corrosion expansion, extraction of the target area the edge of the straight line obtained very good effect, in addition to get rid of the shadow, the four control points using morphological expansion corrosion and correction of the QR code.
机译:随着信息技术的发展,QR码技术在信息技术行业的应用中已变得越来越广泛,其行动也尤为重要。在现代商业活动中,凭借智能手机的普及和各种移动智能设备,可以实现应用程序非常广泛。但在实践中,受收购设备的影响,图像集合往往有各种噪声,影响后来的解码结果。迟到以解码可靠性和稳定性,基于智能手机和移动设备采集具有QR码图像的阴影和倾斜空间,讨论灰色,过滤,虚拟化,边缘检测和图像预处理技术几何校正。特别是在图像处理中的形态应用中的闭合操作,以摆脱阴影和腐蚀扩张,瞄准区域的提取直线的边缘获得了很好的效果,除了摆脱阴影,四个控制点使用形态膨胀腐蚀和QR码的校正。

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