使用OpenCV的标志检测 [英] Logo detection using OpenCV

问题描述

我正在尝试在我正在处理的移动应用中实现一个复活节彩蛋。当在摄像机视图中检测到标志时，将触发这些复活节彩蛋。我想检测的标志是这个：。

I'm attempting to implement an easter egg in a mobile app I'm working on. These easter egg will be triggered when a logo is detected in the camera view. The logo I'm trying to detect is this one: .

我不太确定什么是最好的方法来处理这是因为我是新的计算机视觉。我目前发现水平边缘使用Canny算法。然后我使用概率霍夫变换找到线段。它的输出如下（蓝线代表由概率Hough变换检测的线段）：

I'm not quite sure what the best way to approach this is as I'm pretty new to computer vision. I'm currently finding horizontal edges using the Canny algorithm. I then find line segments using the probabilistic Hough transform. The output of this looks as follows (blue lines represent the line segments detected by the probabilistic Hough transform):

下一步我要采取的是寻找一组24线（拟合在接近正方形的矩形内），每条线将必须具有大致相同的长度。我会使用这两个信号来表示标志的潜在存在。我知道这可能是一个非常天真的方法，并欢迎建议如何更好地检测这个标志更可靠的方式？

The next step I was going to take would be to look for a group of around 24 lines (fitting within a nearly square rectangle), each line would have to be approximately the same length. I'd use these two signals to indicate the potential presence of the logo. I realise that this is probably a very naive approach and would welcome suggestions as to how to better detect this logo in a more reliable manner?

感谢

推荐答案

您可以使用 SIFT ，使用Rob Hess的 SIFT库。它使用OpenCV，也很快。我想，比目前接近标志检测的方法更容易）

You may want to go with SIFT using Rob Hess' SIFT Library. It's using OpenCV and also pretty fast. I guess that easier than your current way of approaching the logo detection :)

尝试查找 SURF ，声称更快，比SIFT鲁棒。此功能检测教程将会帮助您。

Try also looking for SURF, which claims to be faster & robuster than SIFT. This Feature Detection tutorial will help you.

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