| private imgproc_LineSegmentDetector_detect_vector ( IntPtr obj, IntPtr image, IntPtr lines, IntPtr width, IntPtr prec, IntPtr nfa ) : void | ||
| obj | IntPtr | |
| image | IntPtr | |
| lines | IntPtr | |
| width | IntPtr | |
| prec | IntPtr | |
| nfa | IntPtr | |
| return | void | |
/// <summary>
/// Finds lines in the input image.
/// This is the output of the default parameters of the algorithm on the above shown image.
/// </summary>
/// <param name="image">A grayscale (CV_8UC1) input image. </param>
/// <param name="lines">A vector of Vec4i or Vec4f elements specifying the beginning and ending point of a line.
/// Where Vec4i/Vec4f is (x1, y1, x2, y2), point 1 is the start, point 2 - end. Returned lines are strictly oriented depending on the gradient.</param>
/// <param name="width">Vector of widths of the regions, where the lines are found. E.g. Width of line.</param>
/// <param name="prec">Vector of precisions with which the lines are found.</param>
/// <param name="nfa">Vector containing number of false alarms in the line region,
/// with precision of 10%. The bigger the value, logarithmically better the detection.</param>
public virtual void Detect(InputArray image, out Vec4f[] lines,
out double[] width, out double[] prec, out double[] nfa)
{
if (image == null)
{
throw new ArgumentNullException("nameof(image)");
}
image.ThrowIfDisposed();
using (var linesVec = new VectorOfVec4f())
using (var widthVec = new VectorOfDouble())
using (var precVec = new VectorOfDouble())
using (var nfaVec = new VectorOfDouble())
{
NativeMethods.imgproc_LineSegmentDetector_detect_vector(ptr, image.CvPtr,
linesVec.CvPtr, widthVec.CvPtr, precVec.CvPtr, nfaVec.CvPtr);
lines = linesVec.ToArray();
width = widthVec.ToArray();
prec = precVec.ToArray();
nfa = nfaVec.ToArray();
}
GC.KeepAlive(image);
}
