在opencv中实现imclose（IM，SE） [英] Implementing imclose(IM, SE) in opencv

问题描述

我想检测下面图像的背景，其前景总是很多黑点：

I want to detect the background of the following image whose foreground is always lots of black dots:

img.png

有人使用磁盘形结构元素对图像执行形态学闭合并获得良好结果：

Someone performs morphological closing on the image with disk-shaped structuring element and obtain a good result:

Matlab代码：

img = imread('c:\img.png');
bg = imclose(img, strel('disk', 15));
figure('name', 'bg'), imshow(bg);

那么如何在opencv中实现imclose（IM，SE）来替换MATLAB中的工作或者有使用opencv方法检测此类背景的另一种更好的方法是？

So how to implement imclose(IM, SE) in opencv to replace the work in MATLAB or there is another better way to detect such background using opencv method?

推荐答案

您可以使用 cv :: getStructuringElement（ ）创建椭圆结构元素， cv :: morphologyEx（）执行结束操作。

You can use cv::getStructuringElement() to create an elliptical structuring element, and cv::morphologyEx() to perform a closing operation.

cv::morphologyEx(img, img, cv::MORPH_CLOSE, cv::getStructuringElement(cv::MORPH_ELLIPSE, cv::Size(21,21)));

我必须稍微修改结构元素大小以产生与MATLAB示例相似的结果：

I had to modify the structuring element size slightly to produce similar results to your MATLAB example:

由于您似乎对OpenCV的形态学操作感兴趣，我建议您给出文档一个通读，以查看它能够做什么。

Since you seem to be interested in morphological operations with OpenCV, I recommend you give the documentation a read-through to see what all it is capable of.

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