public void clarifySolution(Data.Image image)
{
if (swingSharpness == null)
{
swingSharpness = new double[image.width(), image.height()];
for (int x = 0; x < image.width(); x++)
{
for (int y = 0; y < image.height(); y++)
{
swingSharpness[x, y] = 0;
}
}
width = image.width();
height = image.height();
}
List <Data.Point> listPoint = new List <Data.Point>();
Bitmap curentImage = image.image;
curentImage = changeImage.translateToMonochrome(curentImage);
matematical.setImage(curentImage);
for (int x = 0; x < image.width(); x++)
{
for (int y = 0; y < image.height(); y++)
{
double gradient = matematical.gradientAtPoint(x, y);
if (gradient > swingSharpness[x, y])
{
listPoint.Add(new Data.Point(x, y));
swingSharpness[x, y] = gradient;
}
}
}
solution.setValue(listPoint, image);
}
void calculateGradientImage(int sector)
{
int x_begin = 0, x_end = 0, y_begin = 0, y_end = 0;
lock (curentImage)
{
switch (sector)
{
case 0: x_begin = 0; x_end = curentImage.Width / 2; y_begin = 0; y_end = curentImage.Height / 2; break;
case 1: x_begin = curentImage.Width / 2; x_end = curentImage.Width; y_begin = 0; y_end = curentImage.Height / 2; break;
case 2: x_begin = 0; x_end = curentImage.Width / 2; y_begin = curentImage.Height / 2; y_end = curentImage.Height; break;
case 3: x_begin = curentImage.Width / 2; x_end = curentImage.Width; y_begin = curentImage.Height / 2; y_end = curentImage.Height; break;
}
}
for (int x = x_begin; x < x_end; x += step)
{
for (int y = y_begin; y < y_end; y += step)
{
double gradient = matematical.gradientAtPoint(x, y);
if (gradient > swingSharpness[x, y])
{
swingSharpness[x, y] = gradient;
}
}
}
}
public void addImageAnalysis(Image image)
{
matematical3x3.setImage(image.image);
matematical5x5.setImage(image.image);
matematical7x7.setImage(image.image);
foreach (var point in pointAnalysis)
{
gradients3x3[point].Add(matematical3x3.gradientAtPoint(point.x, point.y));
gradients5x5[point].Add(matematical5x5.gradientAtPoint(point.x, point.y));
gradients7x7[point].Add(matematical7x7.gradientAtPoint(point.x, point.y));
}
}
public void clarifySolution(Data.Image image, List <IMathematical> coreGoodPoint, List <Data.Point> goodPoint)
{
if (swingSharpness == null)
{
swingSharpness = new double[image.width(), image.height()];
/* for (int x = 0; x < image.width(); x++)
* for (int y = 0; y < image.height(); y++)
* swingSharpness[x, y] = 0;*/
width = image.width();
height = image.height();
}
List <Data.Point> listPoint = new List <Data.Point>();
Bitmap curentImage = image.image;
curentImage = changeImage.translateToMonochrome(curentImage);
HashSet <IMathematical> set = new HashSet <IMathematical>(coreGoodPoint);
foreach (var i in set)
{
i.setImage(curentImage);
}
for (int i = 0; i < goodPoint.Count; i++)
{
int x = goodPoint[i].x;
int y = goodPoint[i].y;
matematical = set.First(item => item.GetType() == coreGoodPoint[i].GetType());
double gradient = matematical.gradientAtPoint(x, y);
if (gradient > swingSharpness[x, y])
{
listPoint.Add(new Data.Point(x, y));
swingSharpness[x, y] = gradient;
}
}
solution.setValue(listPoint, image);
}
