如何在opencv中找到图像之间的重叠区域？ [英] how to find overlapping region between images in opencv?

问题描述

我试图实现与两个图像的alpha混合图像拼接。
我的第一张图片是这个 - >

这里是我的第二张图片 - >

这里是我的结果图片 - >

正如你可以看到的结果是不正确的。我想我首先要找到之间的重叠区域，然后实现alpha混合首先，你是否看过在OpenCV 2.3中引入了一个新的拼接模块？

>

它提供了一组用于拼接管道的构建块，包括混合和查找重叠（例如注册）步骤。以下是文档： http://docs.opencv.org/modules/stitching/ doc / stitching.html 和拼接应用程序示例： stitching_detailed.cpp

我建议您研究此示例的代码，以便更好地了解详细信息。 p>

关于重叠的发现，在计算机视觉中有几种常见的方法：

• optical





• 对于你的情况下，我推荐最后一个 - 它的作品非常好的照片。这个方法已经在OpenCV中实现 - 探索OpenCv源，看看 cv :: detail :: BestOf2NearestMatcher 是如何工作的。
  
  

  I am trying to implement alpha blending with two images for image stitching . My first image is this ->

  here is my second image ->

  here is my result image ->

  As you can see the result is not proper.I think I first have to find the overlapping region between then and then implement alpha blending on the overlapping part.

  解决方案

  First of all, have you seen a new "stitching" module introduced in OpenCV 2.3?

  It provides a set of building blocks for stitching pipeline including blending and "finding an overlap" (e.g. registration) steps. Here is a documentation: http://docs.opencv.org/modules/stitching/doc/stitching.html and an example of stitching application: stitching_detailed.cpp

  I recommend you to study the code of this sample for better understanding of the details.

  Regarding the finding of overlap there are several common approaches in computer vision:

  • optical flow
  • template matching
  • feature matching

  For your case I recommend the last one - it works very well on the photos. And this approach is already implemented in OpenCV - explore the OpenCv source and see how the cv::detail::BestOf2NearestMatcher works.

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