/// <summary>
/// The AgastFeatureDetector constructor
/// </summary>
/// <param name="threshold">threshold on difference between intensity of the central pixel
/// and pixels of a circle around this pixel.</param>
/// <param name="nonmaxSuppression">if true, non-maximum suppression is applied to detected corners (keypoints).</param>
/// <param name="type"></param>
public static AgastFeatureDetector Create( int threshold=10,
bool nonmaxSuppression=true,
AGASTType type = AGASTType.OAST_9_16)
{
IntPtr ptr = NativeMethods.features2d_AgastFeatureDetector_create(
threshold, nonmaxSuppression ? 1 : 0, (int)type);
return new AgastFeatureDetector(ptr);
}
/// <summary>
/// The AgastFeatureDetector constructor
/// </summary>
/// <param name="threshold">threshold on difference between intensity of the central pixel
/// and pixels of a circle around this pixel.</param>
/// <param name="nonmaxSuppression">if true, non-maximum suppression is applied to detected corners (keypoints).</param>
/// <param name="type"></param>
public static AgastFeatureDetector Create(int threshold = 10,
bool nonmaxSuppression = true,
AGASTType type = AGASTType.OAST_9_16)
{
IntPtr ptr = NativeMethods.features2d_AgastFeatureDetector_create(
threshold, nonmaxSuppression ? 1 : 0, (int)type);
return(new AgastFeatureDetector(ptr));
}
/// <summary>
/// Detects corners using the AGAST algorithm
/// </summary>
/// <param name="image">grayscale image where keypoints (corners) are detected.</param>
/// <param name="threshold">threshold on difference between intensity of the central pixel
/// and pixels of a circle around this pixel.</param>
/// <param name="nonmaxSuppression">if true, non-maximum suppression is applied to
/// detected corners (keypoints).</param>
/// <param name="type">one of the four neighborhoods as defined in the paper</param>
/// <returns>keypoints detected on the image.</returns>
public static KeyPoint[] AGAST(InputArray image, int threshold, bool nonmaxSuppression, AGASTType type)
{
if (image == null)
throw new ArgumentNullException(nameof(image));
image.ThrowIfDisposed();
using (var vector = new VectorOfKeyPoint())
{
NativeMethods.features2d_AGAST(image.CvPtr, vector.CvPtr, threshold, nonmaxSuppression ? 1 : 0,
(int) type);
GC.KeepAlive(image);
return vector.ToArray();
}
}
/// <summary>
/// Detects corners using the AGAST algorithm
/// </summary>
/// <param name="image">grayscale image where keypoints (corners) are detected.</param>
/// <param name="threshold">threshold on difference between intensity of the central pixel
/// and pixels of a circle around this pixel.</param>
/// <param name="nonmaxSuppression">if true, non-maximum suppression is applied to
/// detected corners (keypoints).</param>
/// <param name="type">one of the four neighborhoods as defined in the paper</param>
/// <returns>keypoints detected on the image.</returns>
public static KeyPoint[] AGAST(InputArray image, int threshold, bool nonmaxSuppression, AGASTType type)
{
if (image == null)
{
throw new ArgumentNullException("image");
}
image.ThrowIfDisposed();
using (var vector = new VectorOfKeyPoint())
{
NativeMethods.features2d_AGAST(image.CvPtr, vector.CvPtr, threshold, nonmaxSuppression ? 1 : 0,
(int)type);
GC.KeepAlive(image);
return(vector.ToArray());
}
}
