private Mat Median(Mat picture, Mat result)
{
Data_th th_data = th.Get_Data();
Cv2.MedianBlur(picture, result, th_data.Get_Gkernel());
return(result);
}
private Mat Gaussian(Mat picture, Mat result)
{
Data_th th_data = th.Get_Data();
Cv2.GaussianBlur(picture, result, new OpenCvSharp.Size(th_data.Get_Gkernel(), th_data.Get_Gkernel()), 1); // sigma: 흐려지는 정도
return(result);
}
private Mat Canny(Mat picture, Mat result)
{
Data_th th_data = th.Get_Data();
Cv2.Canny(picture, result, th_data.Get_Cth1(), th_data.Get_Cth2()); // 임계값 1이하에 포함되는 가장자리는 제외, 2이상 포함되는 가장자리는 가장자리로 간주.
return(result);
}
private Mat Sharpening(Mat picture, Mat result)
{
Data_th th_data = th.Get_Data();
Mat tmp = Mat.Zeros(new OpenCvSharp.Size(picture.Cols, picture.Rows), MatType.CV_8UC3);
Cv2.GaussianBlur(picture, tmp, new OpenCvSharp.Size(9, 9), th_data.Get_Shsigma());
Cv2.AddWeighted(picture, th_data.Get_Shth1(), tmp, -th_data.GetShth2(), 7.5, result);
return(result);
}
private Mat Sobel(Mat picture, Mat result)
{
Data_th th_data = th.Get_Data();
if (picture.Channels() != 1)
{
Cv2.CvtColor(picture, picture, ColorConversionCodes.BGR2GRAY);
}
Cv2.Sobel(picture, result, MatType.CV_8U, th_data.Get_Sbx(), th_data.Get_Sby());
return(result);
}
public void Set_Data(Data_th th_data)
{
this.data = th_data;
}
