python 计算轮廓/区域的中心
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Calculate the center of a contour/Area
提问by Janusz
I'm working on a Image-processing chain that seperates a single object by color and contour and then calculates the y-position of this object.
我正在研究一个图像处理链，它按颜色和轮廓分隔单个对象，然后计算该对象的 y 位置。
How do I calculate the center of a contour or area with OpenCV?
如何使用 OpenCV 计算轮廓或区域的中心？
Opencv links:
OpenCV 链接：
回答by Kiv
You can get the center of mass in the y direction by first calculating the Moments. Then the center of mass is given by yc = M01 / M00, where M01 and M00 are fields in the structure returned by the Moments call.
您可以通过首先计算Moments来获得 y 方向的质心。然后质心由 给出yc = M01 / M00，其中 M01 和 M00 是 Moments 调用返回的结构中的字段。
If you just want the center of the bounding rectangle, that is also easy to do with BoundingRect. This returns you a CvRect and you can just take half of the height.
如果您只想要边界矩形的中心，使用BoundingRect也很容易。这将返回一个 CvRect，您可以只取高度的一半。
Let me know if this isn't precise enough, I have sample code somewhere I can dig up for you.
如果这不够精确，请告诉我，我在某处可以为您挖掘示例代码。
回答by wsd
I don't exactly know what OpenCV is, but I would suggest this:
我不完全知道 OpenCV 是什么，但我建议这样做：
The Selected cluster of pixels has a maximum width at one point - w - so lets say the area has w vertical columns of pixels. Now I would weight the columns according to how many pixels the column contains, and use these column-wights to determine the Horizontal Center Point.
Selected 像素簇在一个点上有一个最大宽度 - w - 所以假设该区域有 w 个垂直像素列。现在我将根据列包含的像素数对列进行加权，并使用这些列权重来确定水平中心点。
The Same Algorithm could also work for the X Center.
同样的算法也适用于 X 中心。
