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);
}
public void calculateGradientImage(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] = -255;*/
}
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])
* swingSharpness[x, y] = gradient;
* }
*/
if (step == 0)
{
step = (curentImage.Width * curentImage.Height) / 640000;
}
Parallel.For(0, 4, calculateGradientImage);
}
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));
}
}
