internal extern static IntPtr cveKAZEDetectorCreate(
[MarshalAs(CvInvoke.BoolMarshalType)]
bool extended,
[MarshalAs(CvInvoke.BoolMarshalType)]
bool upright,
float threshold,
int octaves, int sublevels, KAZE.Diffusivity diffusivity,
ref IntPtr feature2D);
/// <summary>
/// Create AKAZE using the specific values
/// </summary>
/// <param name="descriptorType">Type of the extracted descriptor</param>
/// <param name="descriptorSize">Size of the descriptor in bits. 0 -> Full size</param>
/// <param name="descriptorChannels">Number of channels in the descriptor (1, 2, 3)</param>
/// <param name="threshold">Detector response threshold to accept point</param>
/// <param name="sublevels"> Default number of sublevels per scale level</param>
/// <param name="octaves">Maximum octave evolution of the image</param>
/// <param name="diffusivity">Diffusivity type</param>
public AKAZE(DescriptorType descriptorType = DescriptorType.Mldb, int descriptorSize = 0, int descriptorChannels = 3,
float threshold = 0.001f, int octaves = 4, int sublevels = 4, KAZE.Diffusivity diffusivity = KAZE.Diffusivity.PmG2)
{
_ptr = CvInvoke.cveAKAZEDetectorCreate(
descriptorType, descriptorSize, descriptorChannels,
threshold, octaves, sublevels, diffusivity,
ref _feature2D);
}
internal static extern IntPtr cveAKAZEFeaturesFinderCreate(
AKAZE.DescriptorType descriptorType,
int descriptorSize,
int descriptorChannels,
float threshold,
int nOctaves,
int nOctaveLayers,
KAZE.Diffusivity diffusivity,
ref IntPtr f);
/// <summary>
/// Creates an AKAZE features finder
/// </summary>
/// <param name="descriptorType">Type of the extracted descriptor</param>
/// <param name="descriptorSize">Size of the descriptor in bits. 0 -> Full size</param>
/// <param name="descriptorChannels">Number of channels in the descriptor (1, 2, 3)</param>
/// <param name="threshold">Detector response threshold to accept point</param>
/// <param name="nOctaveLayers"> Default number of sublevels per scale level</param>
/// <param name="nOctaves">Maximum octave evolution of the image</param>
/// <param name="diffusivity">Diffusivity type</param>
public AKAZEFeaturesFinder(
AKAZE.DescriptorType descriptorType,
int descriptorSize,
int descriptorChannels,
float threshold,
int nOctaves,
int nOctaveLayers,
KAZE.Diffusivity diffusivity)
{
_ptr = StitchingInvoke.cveAKAZEFeaturesFinderCreate(
descriptorType, descriptorSize, descriptorChannels, threshold, nOctaves, nOctaveLayers, diffusivity,
ref _featuresFinderPtr);
}
/// <summary>
/// Creates an AKAZE features finder
/// </summary>
/// <param name="descriptorType">Type of the extracted descriptor</param>
/// <param name="descriptorSize">Size of the descriptor in bits. 0 -> Full size</param>
/// <param name="descriptorChannels">Number of channels in the descriptor (1, 2, 3)</param>
/// <param name="threshold">Detector response threshold to accept point</param>
/// <param name="nOctaveLayers"> Default number of sublevels per scale level</param>
/// <param name="nOctaves">Maximum octave evolution of the image</param>
/// <param name="diffusivity">Diffusivity type</param>
public AKAZEFeaturesFinder(
AKAZE.DescriptorType descriptorType = AKAZE.DescriptorType.Mldb,
int descriptorSize = 0,
int descriptorChannels = 3,
float threshold = 0.001f,
int nOctaves = 4,
int nOctaveLayers = 4,
KAZE.Diffusivity diffusivity = KAZE.Diffusivity.PmG2)
{
_ptr = StitchingInvoke.cveAKAZEFeaturesFinderCreate(
descriptorType, descriptorSize, descriptorChannels, threshold, nOctaves, nOctaveLayers, diffusivity,
ref _featuresFinderPtr);
}
/// <summary>
/// Create AKAZE using the specific values
/// </summary>
/// <param name="descriptorType">Type of the extracted descriptor</param>
/// <param name="descriptorSize">Size of the descriptor in bits. 0 -> Full size</param>
/// <param name="descriptorChannels">Number of channels in the descriptor (1, 2, 3)</param>
/// <param name="threshold">Detector response threshold to accept point</param>
/// <param name="nOctaveLayers"> Default number of sublevels per scale level</param>
/// <param name="nOctaves">Maximum octave evolution of the image</param>
/// <param name="diffusivity">Diffusivity type</param>
public AKAZE(
DescriptorType descriptorType = DescriptorType.Mldb,
int descriptorSize = 0,
int descriptorChannels = 3,
float threshold = 0.001f,
int nOctaves = 4,
int nOctaveLayers = 4,
KAZE.Diffusivity diffusivity = KAZE.Diffusivity.PmG2)
{
_ptr = Features2DInvoke.cveAKAZEDetectorCreate(
descriptorType, descriptorSize, descriptorChannels,
threshold, nOctaves, nOctaveLayers, diffusivity,
ref _feature2D, ref _sharedPtr);
}
internal extern static IntPtr cveAKAZEDetectorCreate(
AKAZE.DescriptorType descriptorType, int descriptorSize, int descriptorChannels,
float threshold, int octaves, int nOctaveLayers, KAZE.Diffusivity diffusivity,
ref IntPtr feature2D, ref IntPtr sharedPtr);
private void open_Click(object sender, EventArgs e)
{
//MessageBox.Show(Convert.ToString(treshold));
if (KazeRadio.Checked)
{
descriptorTipus = AKAZE.DescriptorType.Kaze;
}
else if (KazeUpRadio.Checked)
{
descriptorTipus = AKAZE.DescriptorType.KazeUpright;
}
else if (MldbRadio.Checked)
{
descriptorTipus = AKAZE.DescriptorType.Mldb;
}
else if (MldbUpRadio.Checked)
{
descriptorTipus = AKAZE.DescriptorType.MldbUpright;
}
else
{
MldbRadio.Checked = true;
}
if (Channel1Radio.Checked)
{
channelNumber = 1;
}
else if (Channel2Radio.Checked)
{
channelNumber = 2;
}
else if (Channerl3Radio.Checked)
{
channelNumber = 3;
}
else
{
Channerl3Radio.Checked = true;
}
if (CharbonnierRadio.Checked)
{
difuzivitasi = KAZE.Diffusivity.Charbonnier;
}
else if (PmG1Radio.Checked)
{
difuzivitasi = KAZE.Diffusivity.PmG1;
}
else if (PmG2Radio.Checked)
{
difuzivitasi = KAZE.Diffusivity.PmG2;
}
else if (WeickerRadio.Checked)
{
difuzivitasi = KAZE.Diffusivity.Weickert;
}
else
{
PmG1Radio.Checked = true;
}
OpenFileDialog dlg = new OpenFileDialog();
dlg.Multiselect = true;
dlg.Filter = "jpg files (*.jpg)|*.jpg";
if (dlg.ShowDialog() == DialogResult.OK)
{
dataGridViewKepek.Rows.Clear();
Image <Bgr, byte>[] forrasKepek = new Image <Bgr, byte> [dlg.FileNames.Length];
for (int i = 0; i < forrasKepek.Length; i++)
{
forrasKepek[i] = new Image <Bgr, byte>(dlg.FileNames[i]);
using (Image <Bgr, byte> miniPicture = forrasKepek[i].Resize(200, 200, Emgu.CV.CvEnum.Inter.Cubic, true))
{
DataGridViewRow sor = dataGridViewKepek.Rows[dataGridViewKepek.Rows.Add()];
sor.Cells["FileName"].Value = dlg.FileNames[i];
sor.Cells["View"].Value = miniPicture.ToBitmap();
sor.Height = 200;
}
}
miniPicture = null;
try
{
//0 - Panormáma; 1 - Szekkenlés
//true - Try GPU; false - No
using (Stitcher varras = new Stitcher(0, true))
{
using (AKAZEFeaturesFinder kereso = new AKAZEFeaturesFinder(descriptorTipus, 0, channelNumber, treshold, 4, 4, difuzivitasi))
{
varras.SetFeaturesFinder(kereso);
using (VectorOfMat vm = new VectorOfMat())
{
Mat result = new Mat();
vm.Push(forrasKepek);
Stitcher.Status stitchStatus = varras.Stitch(vm, result);
if (stitchStatus == Stitcher.Status.Ok)
{
resultImage.Image = result;
forrasKepek = null;
}
else
{
MessageBox.Show(this, String.Format("Stiching Error: {0}", stitchStatus));
resultImage.Image = null;
}
}
}
}
}
catch (Exception ex)
{
}
}
}