我对计算机视觉和opencv库非常陌生。
我做了一些谷歌搜索,试图找到如何从Point2fs的向量生成新图像,但还没有找到任何可行的示例。我见过vector to Mat,但当我使用这些示例时,我总是收到错误。
我正在从this示例中工作,任何帮助都将不胜感激。
代码:传入occludedSquare。
resize(occludedSquare, occludedSquare, Size(0, 0), 0.5, 0.5);
Mat occludedSquare8u;
cvtColor(occludedSquare, occludedSquare8u, CV_BGR2GRAY);
//convert to a binary image. pixel values greater than 200 turn to white. otherwize black
Mat thresh;
threshold(occludedSquare8u, thresh, 170.0, 255.0, THRESH_BINARY);
GaussianBlur(thresh, thresh, Size(7, 7), 2.0, 2.0);
//Do edge detection
Mat edges;
Canny(thresh, edges, 45.0, 160.0, 3);
//Do straight line detection
vector<Vec2f> lines;
HoughLines( edges, lines, 1.5, CV_PI/180, 50, 0, 0 );
//imshow("thresholded", edges);
cout << "Detected " << lines.size() << " lines." << endl;
// compute the intersection from the lines detected...
vector<Point2f> intersections;
for( size_t i = 0; i < lines.size(); i++ )
{
for(size_t j = 0; j < lines.size(); j++)
{
Vec2f line1 = lines[i];
Vec2f line2 = lines[j];
if(acceptLinePair(line1, line2, CV_PI / 32))
{
Point2f intersection = computeIntersect(line1, line2);
intersections.push_back(intersection);
}
}
}
if(intersections.size() > 0)
{
vector<Point2f>::iterator i;
for(i = intersections.begin(); i != intersections.end(); ++i)
{
cout << "Intersection is " << i->x << ", " << i->y << endl;
circle(occludedSquare8u, *i, 1, Scalar(0, 255, 0), 3);
}
}
//Make new matrix bounded by the intersections
...
imshow("localized", localized);发布于 2014-05-11 03:15:23
应该像这样简单
std::vector<cv::Point2f> points;
cv::Mat image(points);
//or
cv::Mat image = cv::Mat(points) 可能会混淆的是,cv::Mat是通道的图像矩阵,但它也是一个数学矩阵rows*columns*other dimension。
如果你从一个包含'n‘个二维点的矢量中创建一个Mat,它将创建一个2列x 'n’行的矩阵。您正在将此函数传递给一个需要图像的函数。
如果您只有一组分散的2D点,并希望将它们显示为图像,则需要创建一个足够大的空cv::Mat (无论您的最大x,y点是多少),然后使用绘图函数http://docs.opencv.org/doc/tutorials/core/basic_geometric_drawing/basic_geometric_drawing.html绘制这些点
如果您只想设置这些点坐标下的像素值,以便opencv设置像素值,那么有很多解决方案
https://stackoverflow.com/questions/23585158
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