用于C ++图像分析的OpenCV二进制图像掩码 [英] OpenCV Binary Image Mask for Image Analysis in C++

问题描述

我正在尝试分析一些图像外部有很多噪点的图像，但是内部有一个形状清晰的圆形中心。中心是我感兴趣的部分，但是外部噪声正在影响我对图像的二进制阈值处理。

I'm trying to analyse some images which have a lot of noise around the outside of the image, but a clear circular centre with a shape inside. The centre is the part I'm interested in, but the outside noise is affecting my binary thresholding of the image.

为了忽略噪声，我试图设置已知中心位置和半径的圆形掩模，使该圆外的所有像素都变为黑色。我认为圈内的所有内容现在都可以通过二进制阈值分析来轻松分析。

To ignore the noise, I'm trying to set up a circular mask of known centre position and radius whereby all pixels outside this circle are changed to black. I figure that everything inside the circle will now be easy to analyse with binary thresholding.

我只是想知道是否有人能够指出我正确的方向请问这类问题？我已经看过这个解决方案：如何在Open CV中消除圆圈外的所有内容但我的一些约束条件有所不同，我对加载源图像的方法感到困惑。

I'm just wondering if someone might be able to point me in the right direction for this sort of problem please? I've had a look at this solution: How to black out everything outside a circle in Open CV but some of my constraints are different and I'm confused by the method in which source images are loaded.

提前谢谢！

推荐答案

//First load your source image, here load as gray scale
cv::Mat srcImage = cv::imread("sourceImage.jpg", CV_LOAD_IMAGE_GRAYSCALE);

//Then define your mask image
cv::Mat mask = cv::Mat::zeros(srcImage.size(), srcImage.type());

//Define your destination image
cv::Mat dstImage = cv::Mat::zeros(srcImage.size(), srcImage.type());    

//I assume you want to draw the circle at the center of your image, with a radius of 50
cv::circle(mask, cv::Point(mask.rows/2, mask.cols/2), 50, cv::Scalar(255, 0, 0), -1, 8, 0);

//Now you can copy your source image to destination image with masking
srcImage.copyTo(dstImage, mask);

然后在 dstImage 上进行进一步处理。假设这是您的源图像：

Then do your further processing on your dstImage. Assume this is your source image:

然后上面的代码将此作为灰度输入：

Then the above code gives you this as gray scale input:

这是您创建的二进制掩码：

And this is the binary mask you created:

这是屏蔽操作后的最终结果：

And this is your final result after masking operation:

这篇关于用于C ++图像分析的OpenCV二进制图像掩码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！