基于几何形状检测图像上的对象 [英] Detecting an object on the image based on geometrical form

问题描述

我对图像处理有一个基本的了解，现在正在深入研究Gonzales的数字图像处理书，但有一个紧急的任务，并将欣赏在这方面有经验的人的帮助。

当给定的图像和感兴趣的物体近似形式是已知的（例如圆形，三角形）时，
什么是在图像上找到这个对象的最佳算法/方法？

$ b

解决方案

对象可以稍微变形，因此蛮力方法不会有帮助。可以尝试使用定向渐变的直方图（也称为边缘定向直方图）。我们用它们来检测道路标志。 http://en.wikipedia.org/wiki/Histogram_of_oriented_gradients 以及Bill Triggs的论文应让你开始。

I have a basic understanding in image processing and now studying in-depth the "Digital Image Processing" book by Gonzales, but have an urgent task and will appreciate help from somebody experienced in this area.

When image given and object of interest approximated form is known (e.g. circle, triangle), what is the best algorithm / method to find this object on image?

The object can be slightly deformed, so brute force approach will not help.

解决方案

You may try using Histograms of Oriented Gradients (also called Edge Orientation Histograms). We have used them for detecting road signs. http://en.wikipedia.org/wiki/Histogram_of_oriented_gradients and the papers by Bill Triggs should get you started.

这篇关于基于几何形状检测图像上的对象的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！