/// <summary>
/// Creates a smart pointer to a FastLineDetector object and initializes it
/// </summary>
/// <param name="lengthThreshold">Segment shorter than this will be discarded</param>
/// <param name="distanceThreshold"> A point placed from a hypothesis line segment farther than
/// this will be regarded as an outlier</param>
/// <param name="cannyTh1">First threshold for hysteresis procedure in Canny()</param>
/// <param name="cannyTh2">Second threshold for hysteresis procedure in Canny()</param>
/// <param name="cannyApertureSize">Aperturesize for the sobel operator in Canny()</param>
/// <param name="doMerge">If true, incremental merging of segments will be perfomred</param>
/// <returns></returns>
public static FastLineDetector CreateFastLineDetector(
int lengthThreshold = 10, float distanceThreshold = 1.414213562f,
double cannyTh1 = 50.0, double cannyTh2 = 50.0, int cannyApertureSize = 3,
bool doMerge = false)
{
return(FastLineDetector.Create(lengthThreshold, distanceThreshold, cannyTh1, cannyTh2, cannyApertureSize, doMerge));
}
public void DetectUsingVector()
{
using var fld = FastLineDetector.Create();
using var image = Image("building.jpg", ImreadModes.Grayscale);
Vec4f[] lines = fld.Detect(image);
Assert.NotNull(lines);
Assert.True(lines.Length > 0);
}
public void DetectUsingVector()
{
using (var fld = FastLineDetector.Create())
using (var image = Image("building.jpg", ImreadModes.GrayScale))
{
Vec4f[] lines = fld.Detect(image);
Assert.That(lines, Is.Not.Null.And.Length.GreaterThan(0));
}
}
public void DrawSegmentsUsingVector()
{
using var fld = FastLineDetector.Create();
using var image = Image("building.jpg", ImreadModes.Grayscale);
using var view = image.Clone();
Vec4f[] lines = fld.Detect(image);
fld.DrawSegments(view, lines, true);
ShowImagesWhenDebugMode(view);
}
public void DetectUsingOutputArray()
{
using var fld = FastLineDetector.Create();
using var image = Image("building.jpg", ImreadModes.Grayscale);
using var lines = new Mat();
fld.Detect(image, lines);
Assert.False(lines.Empty());
Assert.Equal(MatType.CV_32FC4, lines.Type());
Assert.True(lines.Rows > 0);
}
public void DrawSegmentsUsingVector()
{
using (var fld = FastLineDetector.Create())
using (var image = Image("building.jpg", ImreadModes.GrayScale))
using (var view = image.Clone())
{
Vec4f[] lines = fld.Detect(image);
fld.DrawSegments(view, lines, true);
Window.ShowImages(view);
}
}
public void DrawSegmentsUsingInputArray()
{
using (var fld = FastLineDetector.Create())
using (var image = Image("building.jpg", ImreadModes.GrayScale))
using (var view = image.Clone())
using (var lines = new Mat())
{
fld.Detect(image, lines);
fld.DrawSegments(view, lines, true);
//Window.ShowImages(view);
}
}
public void DetectUsingOutputArray()
{
using (var fld = FastLineDetector.Create())
using (var image = Image("building.jpg", ImreadModes.GrayScale))
using (var lines = new Mat())
{
fld.Detect(image, lines);
Assert.That(lines.Empty, Is.False);
Assert.That(lines.Type(), Is.EqualTo(MatType.CV_32FC4));
Assert.That(lines.Rows, Is.GreaterThan(0));
}
}
public void New1()
{
var fld = FastLineDetector.Create();
fld.Dispose();
}
