在Java绑定中循环通过OpenCV Mat [英] Looping through OpenCV Mat in Java bindings

问题描述

我想使用OpenCV Java绑定从使用OpenCV接收的以前的答案转换为Java

I am trying to convert a C++ method from a previous answer I received using OpenCV to Java using OpenCV Java bindings

C ++代码：

cv::Mat gray;
cv::Mat element = cv::getStructuringElement(cv::MORPH_CROSS,
                                       cv::Size(2 * erosion_size + 1, 2 * erosion_size + 1),
                                       cv::Point(erosion_size, erosion_size) );
cv::erode(gray, gray, element);
 // Scan the image searching for points and store them in a vector
std::vector<cv::Point> points;
cv::Mat_<uchar>::iterator it = gray.begin<uchar>();
cv::Mat_<uchar>::iterator end = gray.end<uchar>();
for (; it != end; it++)
{
    if (*it) 
        points.push_back(it.pos()); 
}

我不知道如何循环遍历 gray 变量，因为它们在C代码中。下面是我到目前为止：

I can't figure out how to loop through the gray variable as they are in C code. Below is what I've got so far:

Java代码：

Mat gray = new Mat();
Mat element = Imgproc.getStructuringElement(
                Imgproc.MORPH_CROSS, new Size(2 * erosion_size + 1, 2 * erosion_size + 1), new Point(erosion_size, erosion_size)
        );
Imgproc.erode(img, gray, element);
List <Point> p = new ArrayList<Point>();
//How to loop through the gray variable?

我浏览了 API ，似乎 Mat 有获取行和 cols ，但我不能在任何东西上调用 Iterator >

I went through the API's and it seems that Mat does have methods for getting rows and cols but I can't call Iterator on anything..

推荐答案

如果 Mat 是真正的灰色可能属于 CV_8U ：

If the Mat is truly gray, it's probably of type CV_8U:

for (int i = 0; i < gray.rows; i++)
{
    for (int j = 0; j < gray.cols; j++)
    {
        byte pixel = gray.get(i, j);
    }
}

我没有我的环境设置来测试码。有关详情，请访问

I don't have my environment setup to test this code. For more info check this thread.

如果您使用的是 JavaCV ，一段时间后我写了一个代码来对彩色图像的像素进行迭代，并将其转换为灰度，如下所示：

If you are using JavaCV, some time ago I wrote a code to iterate on the pixels of a colored image and convert it to grayscale like this:

    IplImage imageSrc = cvLoadImage("pipeline.png", CV_LOAD_IMAGE_COLOR);
    if (imageSrc == null) 
    {
        System.out.println("!!! Failed loading image");
        return;
    }

    double r, g, b;
    r = g = b = 0.0;               

    IplImage imageDst = IplImage.create(imageSrc.width(), imageSrc.height(), IPL_DEPTH_8U, 3);

    CvMat imagePixels = CvMat.createHeader(imageDst.height(), imageDst.width(), CV_32FC1);  
    cvGetMat(imageDst, imagePixels, null, 0); 
    int x, y;
    for(y=0; y<imageSrc.height(); y++)
       for(x=0; x<imageSrc.width(); x++)
       {
            CvScalar rgb = cvGet2D(imagePixels, y, x);
            r = rgb.val(0);
            g = rgb.val(2);
            b = rgb.val(1);

            double gray = (r + g + b) / 3;

            CvScalar scalar = new CvScalar();
            scalar.setVal(0, gray);
            scalar.setVal(1, gray);
            scalar.setVal(2, gray);
           cvSet2D(imagePixels, y, x, scalar);
       }
       imageDst = new IplImage(imagePixels);  

       IplImage result = new IplImage(imagePixels); 
       cvSaveImage("manual_gray.png", result);

       cvReleaseImage(imageSrc); 

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