Merge pull request #224 from wswld:2.4
This commit is contained in:
commit
3de6846d12
@ -85,7 +85,7 @@ This tutorial code's is shown lines below. You can also download it from `here <
|
||||
for( int i = 0; i < contours.size(); i++ )
|
||||
{ approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
|
||||
boundRect[i] = boundingRect( Mat(contours_poly[i]) );
|
||||
minEnclosingCircle( contours_poly[i], center[i], radius[i] );
|
||||
minEnclosingCircle( (Mat)contours_poly[i], center[i], radius[i] );
|
||||
}
|
||||
|
||||
|
||||
|
@ -71,7 +71,9 @@ There are functions in OpenCV, especially from calib3d module, such as ``project
|
||||
//... fill the array
|
||||
Mat pointsMat = Mat(points);
|
||||
|
||||
One can access a point in this matrix using the same method \texttt{Mat::at}: ::
|
||||
One can access a point in this matrix using the same method ``Mat::at`` :
|
||||
|
||||
::
|
||||
|
||||
Point2f point = pointsMat.at<Point2f>(i, 0);
|
||||
|
||||
@ -109,7 +111,7 @@ Selecting a region of interest: ::
|
||||
Rect r(10, 10, 100, 100);
|
||||
Mat smallImg = img(r);
|
||||
|
||||
A convertion from \texttt{Mat} to C API data structures: ::
|
||||
A convertion from ``Mat`` to C API data structures: ::
|
||||
|
||||
Mat img = imread("image.jpg");
|
||||
IplImage img1 = img;
|
||||
@ -150,7 +152,7 @@ A call to ``waitKey()`` starts a message passing cycle that waits for a key stro
|
||||
double minVal, maxVal;
|
||||
minMaxLoc(sobelx, &minVal, &maxVal); //find minimum and maximum intensities
|
||||
Mat draw;
|
||||
sobelx.convertTo(draw, CV_8U, 255.0/(maxVal - minVal), -minVal);
|
||||
sobelx.convertTo(draw, CV_8U, 255.0/(maxVal - minVal), -minVal * 255.0/(maxVal - minVal));
|
||||
|
||||
namedWindow("image", CV_WINDOW_AUTOSIZE);
|
||||
imshow("image", draw);
|
||||
|
@ -661,7 +661,7 @@ Applies a fixed-level threshold to each array element.
|
||||
|
||||
:param dst: output array of the same size and type as ``src``.
|
||||
|
||||
:param thresh: treshold value.
|
||||
:param thresh: threshold value.
|
||||
|
||||
:param maxval: maximum value to use with the ``THRESH_BINARY`` and ``THRESH_BINARY_INV`` thresholding types.
|
||||
|
||||
|
@ -137,7 +137,7 @@ Finds contours in a binary image.
|
||||
|
||||
:param contours: Detected contours. Each contour is stored as a vector of points.
|
||||
|
||||
:param hierarchy: Optional output vector containing information about the image topology. It has as many elements as the number of contours. For each contour ``contours[i]`` , the elements ``hierarchy[i][0]`` , ``hiearchy[i][1]`` , ``hiearchy[i][2]`` , and ``hiearchy[i][3]`` are set to 0-based indices in ``contours`` of the next and previous contours at the same hierarchical level: the first child contour and the parent contour, respectively. If for a contour ``i`` there are no next, previous, parent, or nested contours, the corresponding elements of ``hierarchy[i]`` will be negative.
|
||||
:param hierarchy: Optional output vector, containing information about the image topology. It has as many elements as the number of contours. For each i-th contour ``contours[i]`` , the elements ``hierarchy[i][0]`` , ``hiearchy[i][1]`` , ``hiearchy[i][2]`` , and ``hiearchy[i][3]`` are set to 0-based indices in ``contours`` of the next and previous contours at the same hierarchical level, the first child contour and the parent contour, respectively. If for the contour ``i`` there are no next, previous, parent, or nested contours, the corresponding elements of ``hierarchy[i]`` will be negative.
|
||||
|
||||
:param mode: Contour retrieval mode (if you use Python see also a note below).
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user