void AllFilters(string path, string numPicture, string extension, Image <Bgr, Byte> imgReference)
{
Image <Bgr, Byte> imgFiltered;
List <int> rejectedDistortions = new List <int> {
2, 3, 5, 8, 9, 11, 13, 15, 16, 18, 19, 21, 24
};
int sizeMask = (int)numericMinMask.Value;
if (sizeMask % 2 == 0)
{
sizeMask++;
}
for (int numImage = 1; numImage <= 24; numImage++)
{
while (rejectedDistortions.Contains(numImage))
{
numImage++;
}
for (int distortionLvl = 1; distortionLvl <= 5; distortionLvl = distortionLvl + 4)
{
string numPath;
if (numImage < 10)
{
numPath = "0" + numImage.ToString() + "_" + distortionLvl.ToString();
}
else
{
numPath = numImage.ToString() + "_" + distortionLvl.ToString();
}
Image <Bgr, Byte> imgToFilter = new Image <Bgr, byte>(path + numPath + extension);
imgFiltered = new Image <Bgr, byte>(imgToFilter.Size);
// uśredniający
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
timer.Reset();
timer.Start();
CvInvoke.Blur(imgToFilter, imgFiltered, new Size(i, i), new Point(-1, -1));
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr uśredniający";
row[1] = i.ToString();
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Avg", i, 0, 0, 0, 0, row, numPicture + numPath);
}
}
// Gaussa
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
for (int j = (int)numericMinSigmaX.Value; j <= (int)numericMaxSigmaX.Value; j = j + 5)
{
timer.Reset();
timer.Start();
CvInvoke.GaussianBlur(imgToFilter, imgFiltered, new Size(i, i), j);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr Gaussa";
row[1] = i.ToString();
row[2] = j.ToString();
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Gauss", i, j, 0, 0, 0, row, numPicture + numPath);
}
}
}
// medianowy
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
timer.Reset();
timer.Start();
CvInvoke.MedianBlur(imgToFilter, imgFiltered, i);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr medianowy";
row[1] = i.ToString();
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Median", i, 0, 0, 0, 0, row, numPicture + numPath);
}
}
// bilateralny
{
for (double j = (double)numericMinSigmaColor.Value; j <= (double)numericMaxSigmaColor.Value; j = j + 10)
{
for (double k = (double)numericMinSigmaSpace.Value; k <= (double)numericMaxSigmaSpace.Value; k = k + 10)
{
timer.Reset();
timer.Start();
CvInvoke.BilateralFilter(imgToFilter, imgFiltered, -1, j, k);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr bilateralny";
row[1] = "-";
row[2] = "-";
row[3] = j.ToString();
row[4] = k.ToString();
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Bilateral", -1, 0, j, k, 0, row, numPicture + numPath);
}
}
}
// Kuwahara
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
timer.Reset();
timer.Start();
imgFiltered = KuwaharaFilter(imgToFilter, i);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr Kuwahara";
row[1] = i.ToString();
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Kuwahara", i, 0, 0, 0, 0, row, numPicture + numPath);
}
}
// unsharp masking
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
float j = (float)numericUnsharpMaskMin.Value;
for (; j <= (float)numericUnsharpMaskMax.Value; j = (float)(j + 0.5))
{
timer.Reset();
timer.Start();
imgFiltered = UnsharpMasking(imgToFilter, i, j);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Unsharp masking";
row[1] = i.ToString();
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Unsharp", i, 0, 0, 0, j, row, numPicture + numPath);
}
}
}
// wyrówanie histogramu
{
timer.Reset();
timer.Start();
imgFiltered = EqualizeHistogram(imgToFilter);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Wyrownanie";
row[1] = "-";
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Eq", 0, 0, 0, 0, 0, row, numPicture + numPath);
}
// rozciągnięcie histogramu
{
timer.Reset();
timer.Start();
imgFiltered = StretchHistogram(imgToFilter);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Rozciągniecie";
row[1] = "-";
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Str", 0, 0, 0, 0, 0, row, numPicture + numPath);
}
}
}
}
void FilterChoice(Image <Bgr, Byte> imgToFilter, Image <Bgr, Byte> imgReference, string numPictureGood, string numDistortionGood, string numIntensityGood)
{
Image <Bgr, Byte> imgFiltered = new Image <Bgr, byte>(imgToFilter.Size);
string name = numPictureGood + numDistortionGood + "_" + numIntensityGood;
int sizeMask = (int)numericMinMask.Value;
if (sizeMask % 2 == 0)
{
sizeMask++;
}
if (radioAvg.Checked)
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
timer.Reset();
timer.Start();
CvInvoke.Blur(imgToFilter, imgFiltered, new Size(i, i), new Point(-1, -1));
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr uśredniający";
row[1] = i.ToString();
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Avg", i, 0, 0, 0, 0, row, name);
}
}
if (radioGauss.Checked)
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
for (int j = (int)numericMinSigmaX.Value; j <= (int)numericMaxSigmaX.Value; j = j + 5)
{
timer.Reset();
timer.Start();
CvInvoke.GaussianBlur(imgToFilter, imgFiltered, new Size(i, i), j);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr Gaussa";
row[1] = i.ToString();
row[2] = j.ToString();
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Gauss", i, j, 0, 0, 0, row, name);
}
}
}
if (radioMedian.Checked)
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
timer.Reset();
timer.Start();
CvInvoke.MedianBlur(imgToFilter, imgFiltered, i);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr medianowy";
row[1] = i.ToString();
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Median", i, 0, 0, 0, 0, row, name);
}
}
if (radioBilateral.Checked)
{
for (double j = (double)numericMinSigmaColor.Value; j <= (double)numericMaxSigmaColor.Value; j = j + 10)
{
for (double k = (double)numericMinSigmaSpace.Value; k <= (double)numericMaxSigmaSpace.Value; k = k + 10)
{
timer.Reset();
timer.Start();
CvInvoke.BilateralFilter(imgToFilter, imgFiltered, -1, j, k);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr bilateralny";
row[1] = "-";
row[2] = "-";
row[3] = j.ToString();
row[4] = k.ToString();
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Bilateral", -1, 0, j, k, 0, row, name);
}
}
}
if (radioKuwahara.Checked)
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
timer.Reset();
timer.Start();
imgFiltered = KuwaharaFilter(imgToFilter, i);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Filtr Kuwahara";
row[1] = i.ToString();
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Kuwahara", i, 0, 0, 0, 0, row, name);
}
}
if (radioUnsharp.Checked)
{
for (int i = sizeMask; i <= (int)numericMaxMask.Value; i = i + 2)
{
float j = (float)numericUnsharpMaskMin.Value;
for (; j <= (float)numericUnsharpMaskMax.Value; j = (float)(j + 0.5))
{
timer.Reset();
timer.Start();
imgFiltered = UnsharpMasking(imgToFilter, i, j);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Unsharp masking";
row[1] = i.ToString();
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Unsharp", i, 0, 0, 0, j, row, name);
}
}
}
if (radioEqualize.Checked)
{
timer.Reset();
timer.Start();
imgFiltered = EqualizeHistogram(imgToFilter);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Wyrownanie";
row[1] = "-";
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Eq", 0, 0, 0, 0, 0, row, name);
}
if (radioStretch.Checked)
{
timer.Reset();
timer.Start();
imgFiltered = StretchHistogram(imgToFilter);
timer.Stop();
EvaluationOfFilter(imgReference, imgFiltered);
row[0] = "Rozciągniecie";
row[1] = "-";
row[2] = "-";
row[3] = "-";
row[4] = "-";
row[5] = "-";
row[6] = PSNRMSE.ToString();
row[7] = PSNRMSD.ToString();
row[8] = PSNRMED.ToString();
row[9] = Marziliano.ToString();
row[10] = timer.Elapsed.TotalMilliseconds.ToString();
ListViewItem listViewItem = new ListViewItem(row);
listViewEval.Items.Add(listViewItem);
SaveResults(imgFiltered, "Str", 0, 0, 0, 0, 0, row, name);
}
MessageBox.Show("Ukończono operacje");
}
