/// <summary>
/// 標準ハフ変換を用いて，2値画像から直線を検出します．
/// </summary>
/// <param name="image">8ビット，シングルチャンネルの2値入力画像．この画像は関数により書き換えられる可能性があります</param>
/// <param name="rho">ピクセル単位で表される投票空間の距離分解能</param>
/// <param name="theta">ラジアン単位で表される投票空間の角度分解能</param>
/// <param name="threshold">投票の閾値パラメータ．十分な票（ > threshold ）を得た直線のみが出力されます</param>
/// <param name="srn">マルチスケールハフ変換において，距離分解能 rho の除数となる値．[既定値は0]</param>
/// <param name="stn">マルチスケールハフ変換において，角度分解能 theta の除数となる値. [既定値は0]</param>
/// <returns>検出された直線．各直線は，2要素のベクトル (rho, theta) で表現されます．
/// rho は原点（画像の左上コーナー）からの距離， theta はラジアン単位で表される直線の回転角度です</returns>
#else
/// <summary>
/// Finds lines in a binary image using standard Hough transform.
/// </summary>
/// <param name="image">The 8-bit, single-channel, binary source image. The image may be modified by the function</param>
/// <param name="rho">Distance resolution of the accumulator in pixels</param>
/// <param name="theta">Angle resolution of the accumulator in radians</param>
/// <param name="threshold">The accumulator threshold parameter. Only those lines are returned that get enough votes ( > threshold )</param>
/// <param name="srn">For the multi-scale Hough transform it is the divisor for the distance resolution rho. [By default this is 0]</param>
/// <param name="stn">For the multi-scale Hough transform it is the divisor for the distance resolution theta. [By default this is 0]</param>
/// <returns>The output vector of lines. Each line is represented by a two-element vector (rho, theta) .
/// rho is the distance from the coordinate origin (0,0) (top-left corner of the image) and theta is the line rotation angle in radians</returns>
#endif
public static CvLineSegmentPolar[] HoughLines(this Mat image, double rho, double theta, int threshold, double srn = 0, double stn = 0)
{
if (image == null)
throw new ArgumentNullException("image");
using (StdVectorVec2f vec = new StdVectorVec2f())
{
CppInvoke.cv_HoughLines(image.CvPtr, vec.CvPtr, rho, theta, threshold, srn, stn);
return vec.ToArray<CvLineSegmentPolar>();
}
}
public static CvPoint2D32f[] CornerSubPix(Mat image, CvSize winSize, CvSize zeroZone, CvTermCriteria criteria)
{
if (image == null)
throw new ArgumentNullException("image");
using (StdVectorVec2f vec = new StdVectorVec2f())
{
CppInvoke.cv_cornerSubPix(image.CvPtr, vec.CvPtr, winSize, zeroZone, criteria);
return vec.ToArray<CvPoint2D32f>();
}
}
