/// <summary>
/// ハフ変換を用いて，グレースケール画像から円を検出します．
/// </summary>
/// <param name="image">8ビット，シングルチャンネル，グレースケールの入力画像></param>
/// <param name="method">現在のところ，HoughCirclesMethod.Gradient メソッドのみが実装されている．</param>
/// <param name="dp">画像分解能に対する投票分解能の比率の逆数．</param>
/// <param name="minDist">検出される円の中心同士の最小距離．</param>
/// <param name="param1">手法依存の1番目のパラメータ．[既定値は100]</param>
/// <param name="param2">手法依存の2番目のパラメータ．[既定値は100]</param>
/// <param name="minRadius">円の半径の最小値 [既定値は0]</param>
/// <param name="maxRadius">円の半径の最大値 [既定値は0]</param>
/// <returns>検出された円．各ベクトルは，3要素の浮動小数点型ベクトル (x, y, radius) としてエンコードされます</returns>
#else
/// <summary>
/// Finds circles in a grayscale image using a Hough transform.
/// </summary>
/// <param name="image">The 8-bit, single-channel, grayscale input image</param>
/// <param name="method">Currently, the only implemented method is HoughCirclesMethod.Gradient</param>
/// <param name="dp">The inverse ratio of the accumulator resolution to the image resolution. </param>
/// <param name="minDist">Minimum distance between the centers of the detected circles. </param>
/// <param name="param1">The first method-specific parameter. [By default this is 100]</param>
/// <param name="param2">The second method-specific parameter. [By default this is 100]</param>
/// <param name="minRadius">Minimum circle radius. [By default this is 0]</param>
/// <param name="maxRadius">Maximum circle radius. [By default this is 0] </param>
/// <returns>The output vector found circles. Each vector is encoded as 3-element floating-point vector (x, y, radius)</returns>
#endif
public static CircleSegment[] HoughCircles(
InputArray image, HoughMethods method, double dp, double minDist,
double param1 = 100, double param2 = 100, int minRadius = 0, int maxRadius = 0)
{
if (image == null)
throw new ArgumentNullException(nameof(image));
image.ThrowIfDisposed();
using (var vec = new VectorOfVec3f())
{
NativeMethods.imgproc_HoughCircles(image.CvPtr, vec.CvPtr, (int)method, dp, minDist, param1, param2, minRadius, maxRadius);
GC.KeepAlive(image);
return vec.ToArray<CircleSegment>();
}
}
/// <summary>
/// ハフ変換を用いて，グレースケール画像から円を検出します．
/// </summary>
/// <param name="method">現在のところ，HoughCirclesMethod.Gradient メソッドのみが実装されている．</param>
/// <param name="dp">画像分解能に対する投票分解能の比率の逆数．</param>
/// <param name="minDist">検出される円の中心同士の最小距離．</param>
/// <param name="param1">手法依存の1番目のパラメータ．[既定値は100]</param>
/// <param name="param2">手法依存の2番目のパラメータ．[既定値は100]</param>
/// <param name="minRadius">円の半径の最小値 [既定値は0]</param>
/// <param name="maxRadius">円の半径の最大値 [既定値は0]</param>
/// <returns>検出された円．各ベクトルは，3要素の浮動小数点型ベクトル (x, y, radius) としてエンコードされます</returns>
#else
/// <summary>
/// Finds circles in a grayscale image using a Hough transform.
/// The input matrix must be 8-bit, single-channel and grayscale.
/// </summary>
/// <param name="method">Currently, the only implemented method is HoughCirclesMethod.Gradient</param>
/// <param name="dp">The inverse ratio of the accumulator resolution to the image resolution. </param>
/// <param name="minDist">Minimum distance between the centers of the detected circles. </param>
/// <param name="param1">The first method-specific parameter. [By default this is 100]</param>
/// <param name="param2">The second method-specific parameter. [By default this is 100]</param>
/// <param name="minRadius">Minimum circle radius. [By default this is 0]</param>
/// <param name="maxRadius">Maximum circle radius. [By default this is 0] </param>
/// <returns>The output vector found circles. Each vector is encoded as 3-element floating-point vector (x, y, radius)</returns>
#endif
public CircleSegment[] HoughCircles(HoughMethods method, double dp, double minDist,
double param1 = 100, double param2 = 100, int minRadius = 0, int maxRadius = 0)
{
return Cv2.HoughCircles(this, method, dp, minDist, param1, param2, minRadius, maxRadius);
}
