public static Bitmap Canny(Bitmap src, int left, int right, int size)
{
ApertureSize apperture = ApertureSize.Size3;
switch (size)
{
case 0:
apperture = ApertureSize.Size3; break;
case 1:
apperture = ApertureSize.Size3; break;
case 2:
apperture = ApertureSize.Size5; break;
case 3:
apperture = ApertureSize.Size7; break;
}
using (IplImage temp = src.ToIplImage())
{
using (IplImage gray = Cv.CreateImage(Cv.GetSize(temp), BitDepth.U8, 1))
{
using (IplImage dst = Cv.CreateImage(Cv.GetSize(temp), BitDepth.U8, 1))
{
Cv.CvtColor(temp, gray, ColorConversion.RgbToGray);
Cv.Canny(gray, dst, left, right, apperture);
return(dst.ToBitmap());
}
}
}
}
/// <summary>
/// Cannyアルゴリズムを用いて，画像のエッジを検出します．
/// </summary>
/// <param name="image">8ビット，シングルチャンネルの入力画像</param>
/// <param name="edges">出力されるエッジのマップ． image と同じサイズ，同じ型</param>
/// <param name="threshold1">ヒステリシスが存在する処理の，1番目の閾値</param>
/// <param name="threshold2">ヒステリシスが存在する処理の，2番目の閾値</param>
/// <param name="apertureSize">Sobelオペレータのアパーチャサイズ [既定値はApertureSize.Size3]</param>
/// <param name="L2gradient">画像勾配の強度を求めるために，より精度の高い L2ノルムを利用するか，L1ノルムで十分（false）かを指定します. [既定値はfalse]</param>
#else
/// <summary>
/// Finds edges in an image using Canny algorithm.
/// </summary>
/// <param name="image">Single-channel 8-bit input image</param>
/// <param name="edges">The output edge map. It will have the same size and the same type as image</param>
/// <param name="threshold1">The first threshold for the hysteresis procedure</param>
/// <param name="threshold2">The second threshold for the hysteresis procedure</param>
/// <param name="apertureSize">Aperture size for the Sobel operator [By default this is ApertureSize.Size3]</param>
/// <param name="L2gradient">Indicates, whether the more accurate L2 norm should be used to compute the image gradient magnitude (true), or a faster default L1 norm is enough (false). [By default this is false]</param>
#endif
public static void Canny(Mat image, Mat edges, double threshold1, double threshold2, ApertureSize apertureSize = ApertureSize.Size3, bool L2gradient = false)
{
if (image == null)
throw new ArgumentNullException("image");
if (edges == null)
throw new ArgumentNullException("edges");
CppInvoke.cv_Canny(image.CvPtr, edges.CvPtr, threshold1, threshold2, apertureSize, L2gradient);
}
public static extern void cvCornerMinEigenVal(IntPtr image, IntPtr eigenval, int block_size, ApertureSize aperture_size);
public static extern void cvCornerHarris(IntPtr image, IntPtr harris_responce, int block_size, ApertureSize aperture_size, double k);
public static extern void cvCornerEigenValsAndVecs(IntPtr image, IntPtr eigenvv, int block_size, ApertureSize aperture_size);
