利用角点检测定位图像中的2-Dim码

Ping Wang, Jinyi Hou
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引用次数: 0

摘要

我们报告了一种鲁棒算法的开发和实现,用于提取视频图像中的2-Dim码区。该算法主要分为两个步骤:首先,将RGB图像转换为灰度图像,并在灰度图像中定位最大局部无线电点;这些点就是所谓的角点。然后利用这些点进行聚类,利用聚类的结果找到一个符合2-Dim编码区域形状的区域。实验结果表明,在含有矩形或圆形元素、光照对比度差或图像中有相邻噪声的2-Dim编码图像中,该算法可以正确地找到2-Dim编码区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Location of 2-Dim code in image by corner detection
We report on the development and implementation of a robust algorithm for extracting 2-Dim code Area in video images. The algorithm concludes two main steps, firstly, convert the RGB images into gray-scale images and location the point of max local radio in the gray image. These points are so-called corner points. Secondly we used the points to clustering and the results of the clustering can be used to find one area that conform the shape of a 2-Dim code area. The experiment results shows that 2-Dim code area in the 2-Dim code images with rectangle or circle element, bad contrast in illumination or with adjacent noise in the image could be find correctly.
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