public void exBlockClickHandler(object sender, EventArgs e)
{
if (image != null)
{
OpenFileDialog ofd = new OpenFileDialog();
ofd.Multiselect = false;
ofd.Title = "Choose an Image to Comparewith";
DialogResult result = ofd.ShowDialog();
if (result == DialogResult.OK)
{
string filename = ofd.FileName;
try
{
Bitmap searchImage = new Bitmap(filename);
Bitmap sourceImage = new Bitmap(path);
CompView mov = this.WorkItem.SmartParts.AddNew <CompView>();
mov.panAndZoomPictureBox1.Image = searchImage;
SmartPartInfo spi =
new SmartPartInfo("Search Image", "MyOwnDescription");
this.WorkItem.Workspaces[WorkspaceNames.TabWorkspace].Show(mov, spi);
// collect reference points using corners detector (for example)
SusanCornersDetector scd = new SusanCornersDetector(30, 18);
List <IntPoint> points = scd.ProcessImage(sourceImage);
// create block matching algorithm's instance
ExhaustiveBlockMatching bm = new ExhaustiveBlockMatching();
// process images searching for block matchings
List <BlockMatch> matches = bm.ProcessImage(sourceImage, points, searchImage);
// draw displacement vectors
BitmapData data = sourceImage.LockBits(
new Rectangle(0, 0, sourceImage.Width, sourceImage.Height),
ImageLockMode.ReadWrite, sourceImage.PixelFormat);
foreach (BlockMatch match in matches)
{
// highlight the original point in source image
Drawing.FillRectangle(data,
new Rectangle(match.SourcePoint.X - 1, match.SourcePoint.Y - 1, 3, 3),
Color.Yellow);
// draw line to the point in search image
Drawing.Line(data, match.SourcePoint, match.MatchPoint, Color.Red);
// check similarity
if (match.Similarity > 0.98f)
{
}
}
sourceImage.UnlockBits(data);
CompView mov2 = this.WorkItem.SmartParts.AddNew <CompView>();
mov2.panAndZoomPictureBox1.Image = sourceImage;
SmartPartInfo spi2 =
new SmartPartInfo("Results", "MyOwnDescription");
this.WorkItem.Workspaces[WorkspaceNames.TabWorkspace].Show(mov2, spi2);
}
catch
{
MessageBox.Show("Images Should be of same height and width");
return;
}
}
}
}
private void initiateButton_Click(object sender, RoutedEventArgs e)
{
// create grayscale filter (BT709)
Grayscale filter = new Grayscale(0.2125, 0.7154, 0.0721);
// apply the filter
img1 = filter.Apply(img1);
img2 = filter.Apply(img2);
Stopwatch st = new Stopwatch();
st.Start();
// collect reference points using corners detector (for example)
SusanCornersDetector scd = new SusanCornersDetector(30, 18);
List<IntPoint> points = scd.ProcessImage(img1);
// create block matching algorithm's instance
ExhaustiveBlockMatching bm = new ExhaustiveBlockMatching(12, 36);
// process images searching for block matchings
List<BlockMatch> matches = bm.ProcessImage(img1, points, img2);
st.Stop();
TimeSpan elapsed = st.Elapsed;
timedisp.Text = "Elapsed time = " + elapsed.ToString();
// draw displacement vectors
BitmapData data = img1.LockBits(
new System.Drawing.Rectangle(0, 0, img1.Width, img1.Height),
ImageLockMode.ReadWrite, img1.PixelFormat);
foreach (BlockMatch match in matches)
{
// highlight the original point in source image
AForge.Imaging.Drawing.FillRectangle(data,
new System.Drawing.Rectangle(match.SourcePoint.X - 1, match.SourcePoint.Y - 1, 3, 3),
System.Drawing.Color.Yellow);
// draw line to the point in search image
AForge.Imaging.Drawing.Line(data, match.SourcePoint, match.MatchPoint, System.Drawing.Color.Red);
// check similarity
if (match.Similarity > 0.98f)
{
// process block with high similarity
}
}
img1.UnlockBits(data);
bi = Compatibility.Compatibility.BitmapToBitmapImage(img1);
image1.Source = bi;
}
