在Java绑定中循环遍历OpenCV Mat
我正在尝试将使用OpenCV收到的先前答案中的C++方法转换为使用OpenCV Java绑定的Java
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gray
像在C代码中那样遍历变量。以下是到目前为止我得到的:
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?
我经历了API,似乎Mat
确实有获取方法rows
,cols
但是我Iterator
什么也不能调用。
回答:
如果Mat
确实是 灰色 ,则可能是以下类型CV_8U
:
for (int i = 0; i < gray.rows; i++){
for (int j = 0; j < gray.cols; j++)
{
byte pixel = gray.get(i, j);
}
}
我没有设置环境来测试此代码。有关更多信息,请检查此线程。
如果您使用的是 ,前段时间,我编写了一个代码来对彩色图像的像素进行迭代,然后将其转换为灰度,如下所示:
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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