private void Menu_histogram_Click(object sender, EventArgs e)
{
HistogramViewer.Show(imageObj);
/* histogram = new HistogramForm(grayArray, bitmap.Width, bitmap.Height);
* histogram.Show();*/
}
protected override void Show(IDialogVisualizerService windowService, IVisualizerObjectProvider objectProvider)
{
if (windowService != null)
{
if (objectProvider != null)
{
try
{
DenseHistogram hist = objectProvider.GetObject() as DenseHistogram;
if (hist != null)
{
using (HistogramViewer viewer = new HistogramViewer())
{
viewer.HistogramCtrl.AddHistogram("Histogram", Color.Black, hist, 256, new float[] { 0, 255 });
viewer.HistogramCtrl.Refresh();
windowService.ShowDialog(viewer);
}
}
}
catch (Exception ex)
{
//TODO
}
}
}
}
private void calculateToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
if (pictureBox1.Image == null)
{
return;
}
var img = new Bitmap(pictureBox1.Image)
.ToImage <Gray, byte>();
Mat hist = new Mat();
float[] ranges = new float[] { 0, 256 };
int[] channel = { 0 };
int[] histSize = { 256 };
VectorOfMat ms = new VectorOfMat();
ms.Push(img);
CvInvoke.CalcHist(ms, channel, null, hist, histSize, ranges, false);
HistogramViewer viewer = new HistogramViewer();
viewer.Text = "Image Histogram";
viewer.ShowIcon = false;
viewer.HistogramCtrl.AddHistogram("Image Histogram", Color.Blue, hist, 256, ranges);
viewer.HistogramCtrl.Refresh();
viewer.Show();
//pictureBox1.Image = CreateGraph(hist).GetImage();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private void button1_Click(object sender, EventArgs e)
{
//从文件中读取图像
var mat = new Mat("lena.jpg");
imageBox1.Image = mat;
//1.HistogramBox
histogramBox1.GenerateHistograms(mat, 32);
histogramBox1.Refresh();
histogramBox1.Show();
//2.使用HistogramViewer
HistogramViewer.Show(mat, 32); //image[0] 顯示Blue,bin = 32
}
protected override void Show(IDialogVisualizerService windowService, IVisualizerObjectProvider objectProvider)
{
DenseHistogram hist = objectProvider.GetObject() as DenseHistogram;
if (hist.Dimension > 1)
{
MessageBox.Show("Only 1-D histogram visualization is supported");
return;
}
if (hist != null)
{
using (HistogramViewer viewer = new HistogramViewer())
{
viewer.HistogramCtrl.AddHistogram("Histogram", System.Drawing.Color.Black, hist);
viewer.HistogramCtrl.Refresh();
windowService.ShowDialog(viewer);
}
}
}
void histoG(Image <Gray, byte> img, Image <Bgr, byte> img2)
{
DenseHistogram Histo = new DenseHistogram(256, new RangeF(0, 255));
float[] grayHist = new float[256];
Histo.Calculate(new Image <Gray, byte>[] { img },
true,
null);
Histo.MatND.ManagedArray.CopyTo(grayHist, 0);
DenseHistogram Histo_temp = new DenseHistogram(256, new RangeF(0, 255));
float[,] colorHist = new float[3, 256];
float[] tempHist = new float[256];
Image <Gray, Byte>[] images = img2.Split();
Histo_temp.Calculate(new Image <Gray, byte>[] { images[0] },
true,
null);
Histo_temp.MatND.ManagedArray.CopyTo(tempHist, 0);
for (int m = 0; m < 256; m++)
{
colorHist[0, m] = tempHist[m];
}
Histo_temp.Calculate(new Image <Gray, byte>[] { images[1] },
true,
null);
Histo_temp.MatND.ManagedArray.CopyTo(tempHist, 0);
for (int m = 0; m < 256; m++)
{
colorHist[1, m] = tempHist[m];
}
Histo_temp.Calculate(new Image <Gray, byte>[] { images[2] },
true,
null);
Histo_temp.MatND.ManagedArray.CopyTo(tempHist, 0);
for (int m = 0; m < 256; m++)
{
colorHist[2, m] = tempHist[m];
}
HistogramViewer.Show(Histo, "histo");
HistogramViewer.Show(img2, 256);
float meangray = 0, meanR = 0, meanG = 0, meanB = 0;
int totalgray = 0, totalR = 0, totalG = 0, totalB = 0;
for (int m = 0; m < 255; m++)
{
meangray = meangray + grayHist[m] * m;
totalgray = totalgray + (int)grayHist[m];
meanB = meanB + colorHist[0, m] * m;
totalB = totalB + (int)colorHist[0, m];
meanG = meanG + colorHist[1, m] * m;
totalG = totalG + (int)colorHist[1, m];
meanR = meanR + colorHist[2, m] * m;
totalR = totalR + (int)colorHist[2, m];
}
meangray = meangray / totalgray;
meanB = meanB / totalB;
meanG = meanG / totalG;
meanR = meanR / totalR;
richTextBox5.Text = "mean gray=" + meangray + "\nmean blue=" + meanB + "\nmean Green=" + meanG + "\nmean Red=" + meanR;
}
private void backProjectionToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
if (pictureBox1.Image == null)
{
return;
}
var img = new Bitmap(pictureBox1.Image)
.ToImage <Gray, byte>();
Image <Gray, byte> img1 = null;
OpenFileDialog dialog = new OpenFileDialog();
if (dialog.ShowDialog() == DialogResult.OK)
{
img1 = new Image <Gray, byte>(dialog.FileName);
}
Mat hist = new Mat();
Mat hist1 = new Mat();
float[] ranges = new float[] { 0, 256 };
int[] channel = { 0 };
int[] histSize = { 256 };
VectorOfMat ms = new VectorOfMat();
ms.Push(img);
VectorOfMat ms1 = new VectorOfMat();
ms1.Push(img1);
CvInvoke.CalcHist(ms, channel, null, hist, histSize, ranges, false);
CvInvoke.CalcHist(ms1, channel, null, hist1, histSize, ranges, false);
CvInvoke.Normalize(hist, hist);
CvInvoke.Normalize(hist1, hist1);
Mat proj = new Mat();
CvInvoke.CalcBackProject(ms, channel, hist, proj, ranges);
HistogramViewer viewer = new HistogramViewer();
viewer.Text = "Image Histogram";
viewer.ShowIcon = false;
viewer.HistogramCtrl.AddHistogram("Image1 Histogram", Color.Blue, hist, 256, ranges);
viewer.HistogramCtrl.Refresh();
viewer.Show();
HistogramViewer viewer1 = new HistogramViewer();
viewer1.Text = "Image Histogram";
viewer1.ShowIcon = false;
viewer1.HistogramCtrl.AddHistogram("Image2 Histogram", Color.Blue, hist1, 256, ranges);
viewer1.HistogramCtrl.Refresh();
viewer1.Show();
pictureBox1.Image = proj.ToBitmap();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
private void compareToolStripMenuItem_Click(object sender, EventArgs e)
{
try
{
if (pictureBox1.Image == null)
{
return;
}
var img = new Bitmap(pictureBox1.Image)
.ToImage <Gray, byte>();
Image <Gray, byte> img1 = null;
OpenFileDialog dialog = new OpenFileDialog();
if (dialog.ShowDialog() == DialogResult.OK)
{
img1 = new Image <Gray, byte>(dialog.FileName);
}
Mat hist = new Mat();
Mat hist1 = new Mat();
float[] ranges = new float[] { 0, 256 };
int[] channel = { 0 };
int[] histSize = { 256 };
VectorOfMat ms = new VectorOfMat();
ms.Push(img);
VectorOfMat ms1 = new VectorOfMat();
ms1.Push(img1);
CvInvoke.CalcHist(ms, channel, null, hist, histSize, ranges, false);
CvInvoke.CalcHist(ms1, channel, null, hist1, histSize, ranges, false);
CvInvoke.Normalize(hist, hist);
CvInvoke.Normalize(hist1, hist1);
HistogramViewer viewer = new HistogramViewer();
viewer.Text = "Image Histogram";
viewer.ShowIcon = false;
viewer.HistogramCtrl.AddHistogram("Image1 Histogram", Color.Blue, hist, 256, ranges);
viewer.HistogramCtrl.Refresh();
viewer.Show();
HistogramViewer viewer1 = new HistogramViewer();
viewer1.Text = "Image Histogram";
viewer1.ShowIcon = false;
viewer1.HistogramCtrl.AddHistogram("Image2 Histogram", Color.Blue, hist1, 256, ranges);
viewer1.HistogramCtrl.Refresh();
viewer1.Show();
var result1 = CvInvoke.CompareHist(hist, hist, Emgu.CV.CvEnum.HistogramCompMethod.Correl);
var result2 = CvInvoke.CompareHist(hist1, hist1, Emgu.CV.CvEnum.HistogramCompMethod.Correl);
var result3 = CvInvoke.CompareHist(hist, hist1, Emgu.CV.CvEnum.HistogramCompMethod.Correl);
lblBGR.Text = "Hist vs Hist = " + result1.ToString() + "\n" +
"Hist1 vs Hist1 = " + result2.ToString() + "\n" +
"Hist vs Hist1 = " + result3.ToString() + "\n";
//pictureBox1.Image = CreateGraph(hist).GetImage();
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
