public static Bitmap Step2(Bitmap bmp)
{
int[][] mat = ImageConvert.Bitmap2Mat(bmp);
ConvKernel kernel = ConvKernel.GetKMeanKernal(3);
Convolution conv = new Convolution();
conv.Calculate(mat, kernel, out mat);
Bitmap result = ImageConvert.Mat2Bitmap(mat);
return(result);
}
public static Bitmap Step1(Bitmap bmp)
{
int[][] mat = ImageConvert.Bitmap2Mat(bmp);
//mat = Util.Median(mat, 5);
int width = mat.Length; int height = mat[0].Length;
int[][] target = Util.BuildMatInt(width, height);
int state;
int previous;
for (int y = 0; y < height; y++)
{
state = 0;
previous = mat[0][y];
for (int x = 0; x < width; x++)
{
int _this = mat[x][y];
// 状态机
switch (state)
{
case 0:
state = 1;
_this = 0;
break;
case 1:
if (_this - previous >= BoneAgeConstants.TransitionThreshold)
{
state = 2;
}
_this = 0;
break;
case 2:
if (_this - previous >= BoneAgeConstants.TransitionThreshold)
{
state = 3;
}
_this = 0;
break;
case 3:
if (previous - _this >= BoneAgeConstants.TransitionThreshold)
{
state = 4;
}
_this = 255;
break;
case 4:
if (previous - _this >= BoneAgeConstants.TransitionThreshold)
{
state = 5;
}
_this = 0;
break;
case 5:
_this = 0;
break;
default:
throw new ApplicationException();
}
previous = mat[x][y];
target[x][y] = _this;
}
}
Bitmap result = ImageConvert.Mat2Bitmap(target);
return(result);
}