OpenCV 3.0.0 MSER二进制掩码

问题描述

我试图在OpenCV 3.0.0 beta中使用MSER算法从图像中提取文本区域.最后，我需要具有检测到的MSER区域的二进制掩码，但是该算法仅提供轮廓.我试图绘制这些轮廓，但没有得到预期的结果.

I am trying to use MSER algorithm in OpenCV 3.0.0 beta to extract text regions from an image. At the end I need a binary mask with the detected MSER regions, but the algorithm only provides contours. I tried to draw these contours but I don't get the expected result.

这是我使用的代码:

void mserExtractor (const Mat& image, Mat& mserOutMask){
    Ptr<MSER> mserExtractor  = MSER::create();

    vector<vector<cv::Point>> mserContours;
    vector<cv::Rect> mserBbox;
    mserExtractor->detectRegions(image, mserContours, mserBbox);

    for( int i = 0; i<mserContours.size(); i++ )
    {
        drawContours(mserOutMask, mserContours, i, Scalar(255, 255, 255), 4);
    }
}

这是结果:

问题在于，非凸区域由与实际MSER区域交叉的线填充.我只想像从MATLAB detectMSERFeatures获得的区域中的像素列表:

The problem is that non-convex regions are filled by lines crossing the actual MSER region. I would like just the list of pixels in the region like I get from MATLAB detectMSERFeatures:

有什么想法如何从轮廓获取填充区域(或以其他方式获取MSER蒙版)?

Any ideas how to get the filled region from the contours (or to get the MSER mask in other ways)?

推荐答案

我找到了解决方案！只需遍历所有点并绘制它们即可！

I found the solution! Just loop over all the points and draw them!

void mserExtractor (const Mat& image, Mat& mserOutMask){
    Ptr<MSER> mserExtractor  = MSER::create();

    vector<vector<cv::Point>> mserContours;
    vector<KeyPoint> mserKeypoint;
    vector<cv::Rect> mserBbox;
    mserExtractor->detectRegions(image, mserContours,  mserBbox);

    for (vector<cv::Point> v : mserContours){
        for (cv::Point p : v){
            mserOutMask.at<uchar>(p.y, p.x) = 255;
        }
    }
}

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