private void hLinesWPreprocessingToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
float angleSpacing = 1;
float minAngle = 0;
float maxAngle = 180;
InputBox Threshold = new InputBox();
Threshold.ShowDialog();
int T = Convert.ToInt32(Threshold.ValueTextBox.Text);
imgUndo = img.Copy();
ImageClass.sobelfilter(imgUndo, img, 3);
ImageClass.otsu(imgUndo, img);
Image <Gray, float> houghImg = ImageClass.HoughTransform(img.Convert <Gray, byte>(), angleSpacing, minAngle, maxAngle);
Image <Bgr, byte> lines = ImageClass.ShowHoughLines(img, imgOri, T);
ShowIMG.ShowIMGStatic(img, lines);
}
private void idealFilterToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
try
{
Image <Gray, float> fft_Amp = null;
Image <Gray, float> fft_Phase = null;
InputBox inputFreq = new InputBox("Cut Frequency");
inputFreq.ShowDialog();
int freq = Convert.ToInt32(inputFreq.ValueTextBox.Text);
FFT.GetFFTAmpAndPhase(img, out fft_Amp, out fft_Phase);
Image <Gray, float> mask = FFT.GenerateFilterMask(fft_Amp.Size, false, freq);
fft_Amp._Mul(mask);
Image <Gray, byte> img_filter = FFT.GetFFT_InverseAmpAndPhase(fft_Amp, fft_Phase);
ShowIMG.ShowIMGStatic(img, img_filter);
}
catch (Exception ex)
{
MessageBox.Show("ERROR! Exception: " + ex.Message);
}
}
private void getGPLToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
Image <Bgr, byte> imgFinal = ImageClass.GetGPL(img);
ShowIMG.ShowIMGStatic(img, imgFinal);
}
private void byImmersionToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
//copy Undo Image
imgUndo = img.Copy();
Image <Gray, int> imgFinal = ImageClass.GetWatershedByImmersion(img);
ShowIMG.ShowIMGStatic(img, imgFinal);
}
private void componentesLigadosToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
//copy Undo Image
imgUndo = img.Copy();
Image <Gray, int> imgFinal = ImageClass.GetConnectedComponents(img);
ShowIMG.ShowIMGStatic(img, imgFinal);
}
private void houghTransformsToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
float angleSpacing = 1;
float minAngle = 0;
float maxAngle = 180;
Image <Gray, float> houghImg = ImageClass.HoughTransform(img.Convert <Gray, byte>(), angleSpacing, minAngle, maxAngle);
ShowIMG.ShowIMGStatic(img, houghImg);
}
private void fFTWebcamToolStripMenuItem_Click(object sender, EventArgs e)
{
Image <Gray, float> fft_Amp = null;
Image <Gray, float> fft_Phase = null;
Capture capture = new Capture();
img = capture.QueryFrame().Clone();
capture.Dispose();
FFT.GetFFTAmpAndPhase(img, out fft_Amp, out fft_Phase);
fft_Amp = FFT.PrepareForVizualization(fft_Amp, true);
fft_Phase = FFT.PrepareForVizualization(fft_Phase, false);
ShowIMG.ShowIMGStatic(fft_Amp, fft_Phase);
}
private void fromLabelsToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
//copy Undo Image
imgUndo = img.Copy();
OpenFileDialog openMask = new OpenFileDialog();
if (openMask.ShowDialog() == DialogResult.OK)
{
Image <Gray, byte> mask = new Image <Gray, byte>(openMask.FileName);
Image <Gray, int> imgFinal = ImageClass.GetWatershedFromLabels(img, mask);
ShowIMG.ShowIMGStatic(img, imgFinal);
}
}
private void houghLinesToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
float angleSpacing = 1;
float minAngle = 0;
float maxAngle = 180;
int T = 2;
Image <Gray, float> houghImg = ImageClass.HoughTransform(img.Convert <Gray, byte>(), angleSpacing, minAngle, maxAngle);
// Image<Bgr, byte> img1 = null;
Image <Bgr, byte> lines = ImageClass.ShowHoughLines(img, img, T);
ShowIMG.ShowIMGStatic(houghImg, lines);
}
private void fFTSwitchAmpPhaseToolStripMenuItem_Click(object sender, EventArgs e)
{
openFileDialog1.ShowDialog();
Image <Bgr, byte> img_fft1 = new Image <Bgr, byte>(openFileDialog1.FileName);
openFileDialog1.ShowDialog();
Image <Bgr, byte> img_fft2 = new Image <Bgr, byte>(openFileDialog1.FileName);
ShowIMG.ShowIMGStatic(img_fft1, img_fft2);
Image <Gray, float> fft_Amp1 = null;
Image <Gray, float> fft_Phase1 = null;
Image <Gray, float> fft_Amp2 = null;
Image <Gray, float> fft_Phase2 = null;
FFT.GetFFTAmpAndPhase(img_fft1, out fft_Amp1, out fft_Phase1);
FFT.GetFFTAmpAndPhase(img_fft2, out fft_Amp2, out fft_Phase2);
Image <Gray, byte> res1 = FFT.GetFFT_InverseAmpAndPhase(fft_Amp1, fft_Phase2);
Image <Gray, byte> res2 = FFT.GetFFT_InverseAmpAndPhase(fft_Amp2, fft_Phase1);
ShowIMG.ShowIMGStatic(res1, res2);
}
private void aula2ToolStripMenuItem_Click(object sender, EventArgs e)
{
if (img == null)
{
return;
}
//copy Undo Image
imgUndo = img.Copy();
Image <Gray, float> matrix = ImageClass.GetQuantificationMatrix(true, 100);
Image <Ycc, float> blockYCC;
//TableForm.ShowTableStatic(matrix,"Matriz de Quantificacao");
Image <Ycc, float> imgYCC = img.Convert <Ycc, float>(); //Transformar o espaço de cor RGB para YCbCr
// TODO subsampling
//Para cada bloco de 8x8 pixéis, fazer: (Copy(new rectangle(...) ) )
int Yblocks = (int)Math.Ceiling(img.Height / 8.0);
int Xblocks = (int)Math.Ceiling(img.Width / 8.0);
for (int x = 0; x < Xblocks; x++)
{
for (int y = 0; y < Yblocks; y++)
{
Image <Gray, float> y1 = imgYCC[0].Copy(new Rectangle(x * 8, y * 8, 8, 8));
Image <Gray, float> Cr = imgYCC[1].Copy(new Rectangle(x * 8, y * 8, 8, 8));
Image <Gray, float> Cb = imgYCC[2].Copy(new Rectangle(x * 8, y * 8, 8, 8));
CvInvoke.cvDCT(y1, y1, CV_DCT_TYPE.CV_DXT_FORWARD);//cálculo da transformada de cossenos DCT
CvInvoke.cvDCT(Cb, Cb, CV_DCT_TYPE.CV_DXT_FORWARD);
CvInvoke.cvDCT(Cr, Cr, CV_DCT_TYPE.CV_DXT_FORWARD);
CvInvoke.cvDiv(y1, matrix, y1, 1); // quantificação dos coeficientes
CvInvoke.cvDiv(Cb, matrix, Cb, 1);
CvInvoke.cvDiv(Cr, matrix, Cr, 1);
ImageClass.myRound(y1); //arredondamento dos coeficientes
ImageClass.myRound(Cb);
ImageClass.myRound(Cr);
// DESCOMPRESSÃO
CvInvoke.cvMul(y1, matrix, y1, 1); // recuperação dos coeficientes (Mul)
CvInvoke.cvMul(Cb, matrix, Cb, 1);
CvInvoke.cvMul(Cr, matrix, Cr, 1);
CvInvoke.cvDCT(y1, y1, CV_DCT_TYPE.CV_DXT_INVERSE);//cálculo da transformada inversa de cossenos iDCT (
CvInvoke.cvDCT(Cb, Cb, CV_DCT_TYPE.CV_DXT_INVERSE);
CvInvoke.cvDCT(Cr, Cr, CV_DCT_TYPE.CV_DXT_INVERSE);
imgYCC.ROI = new Rectangle(x * 8, y * 8, 8, 8);
blockYCC = new Image <Ycc, float>(8, 8);
CvInvoke.cvMerge(y1, Cr, Cb, IntPtr.Zero, blockYCC);
blockYCC.CopyTo(imgYCC);
imgYCC.ROI = Rectangle.Empty;
}
}
Image <Bgr, byte> imgfinal = imgYCC.Convert <Bgr, float>().Convert <Bgr, byte>();
ShowIMG.ShowIMGStatic(img, imgfinal);
}