/*******************************************************
* luvSegmentation()
*
* LUV color model based picture segmentation
*
* input: original image(Bgr), min values vector, max values vector
* output: new modified image
* ******************************************************/
public Image <Bgr, Byte> luvSegmentation(Image <Bgr, Byte> srcImg, mVector3 min, mVector3 max)
{
Image <Luv, float> lImg = srcImg.Convert <Luv, float>();
Image <Bgr, Byte> newImg = srcImg;
for (int i = 0; i < lImg.Width; i++)
{
for (int j = 0; j < lImg.Height; j++)
{
if (
((lImg[j, i].X >= max.x) || (lImg[j, i].X <= min.x)) ||
((lImg[j, i].Y >= max.y) || (lImg[j, i].Y <= min.y)) ||
((lImg[j, i].Z >= max.z) || (lImg[j, i].Z <= min.z))
)
{
/* if (
* ((lImg[j, i].X >= (border.X + tolerance)) || (lImg[j, i].X <= (border.X - tolerance))) ||
* ((lImg[j, i].Y >= (border.Y + toleranc/)) || (lImg[j, i].Y <= (border.Y - tolerance))) ||
* ((lImg[j, i].Z >= (border.Z+tolerance)) || (lImg[j, i].Z <= (border.Z - tolerance)))
* )
* {*/
newImg[j, i] = new Bgr(255.0f, 255.0f, 255.0f);
}
}
}
return(newImg);
}
/*******************************************************
* luvSegmentation()
*
* LUV color model based picture segmentation
*
* input: original image(Bgr), min values vector, max values vector
* output: new modified image
* ******************************************************/
public Image<Bgr, Byte> luvSegmentation(Image<Bgr, Byte> srcImg, mVector3 min, mVector3 max)
{
Image<Luv, float> lImg = srcImg.Convert<Luv, float>();
Image<Bgr, Byte> newImg = srcImg;
for (int i = 0; i < lImg.Width; i++)
{
for (int j = 0; j < lImg.Height; j++)
{
if (
((lImg[j, i].X >= max.x) || (lImg[j, i].X <= min.x)) ||
((lImg[j, i].Y >= max.y) || (lImg[j, i].Y <= min.y)) ||
((lImg[j, i].Z >= max.z) || (lImg[j, i].Z <= min.z))
)
{
/* if (
((lImg[j, i].X >= (border.X + tolerance)) || (lImg[j, i].X <= (border.X - tolerance))) ||
((lImg[j, i].Y >= (border.Y + toleranc/)) || (lImg[j, i].Y <= (border.Y - tolerance))) ||
((lImg[j, i].Z >= (border.Z+tolerance)) || (lImg[j, i].Z <= (border.Z - tolerance)))
)
{*/
newImg[j, i] = new Bgr(255.0f, 255.0f, 255.0f);
}
}
}
return newImg;
}