public PointSelect(IImageD_Provider image_provider, IPointsProvider points_provider)
{
IImageD_Provider provider = new ImageD_Providers.PlotPoints(image_provider, points_provider);
image_provider.ImageDChanged += img => { provider.ResetSelf(); provider.GetImageD(); };
points_provider.PointsChanged += ps => { this.points = ps; provider.ResetSelf(); provider.GetImageD(); };
provider.ImageDChanged += img => { image_width = img.width; image_height = img.height; image.Source = img.ToImage().ToBitmapSource(); };
InitializeViews();
RegisterEvents();
}
private void InitializeViews()
{
source_image_panel = new SourceImagePanel();
IImageD_Provider main_image = source_image_panel.GetImageD_Provider(0);
IImageD_Provider side_image = source_image_panel.GetImageD_Provider(1);
IPointsProvider <PointsProviders.MSOP_DescriptorVector.Descriptor> main_feature_points_provider = new PointsProviders.MSOP_DescriptorVector(new PointsProviders.HarrisCornerDetector(main_image), new MatrixProviders.GrayScale(main_image));
IPointsProvider <PointsProviders.MSOP_DescriptorVector.Descriptor> side_feature_points_provider = new PointsProviders.MSOP_DescriptorVector(new PointsProviders.HarrisCornerDetector(side_image), new MatrixProviders.GrayScale(side_image));
IImageD_Provider mp_merge_refined = new ImageD_Providers.PlotPoints(
new ImageD_Providers.GrayImageD(new MatrixProviders.GrayScale(main_image)),
main_feature_points_provider
);
Controls.PointSelect main_features = new Controls.PointSelect(main_image, main_feature_points_provider);
Controls.PointSelect side_features = new Controls.PointSelect(side_image, side_feature_points_provider);
main_features.PointSelected += selected_point =>
{
var main_descriptor = (selected_point as ImagePoint <PointsProviders.MSOP_DescriptorVector.Descriptor>).content;
ImagePoint nearst = null;
double first_min = double.MaxValue, second_min = double.MaxValue;
foreach (var p in side_features.points)
{
double dis = main_descriptor.difference((p as ImagePoint <PointsProviders.MSOP_DescriptorVector.Descriptor>).content);
if (dis < first_min)
{
second_min = first_min;
first_min = dis;
nearst = p;
}
else if (dis < second_min)
{
second_min = dis;
}
}
if (first_min / second_min < 0.8)
{
LogPanel.Log($"nearst feature diff = {main_descriptor.difference((nearst as ImagePoint<PointsProviders.MSOP_DescriptorVector.Descriptor>).content)}");
side_features.ShowPoint(nearst.x, nearst.y);
}
else
{
LogPanel.Log($"nearst feature too similar, no match!");
}
};
//this.Height = 500;
//this.Width = 800;
this.Content = new ScrollViewer
{
HorizontalScrollBarVisibility = ScrollBarVisibility.Disabled,
VerticalScrollBarVisibility = ScrollBarVisibility.Visible,
Content = new StackPanel
{
Orientation = Orientation.Vertical,
Children =
{
source_image_panel,
new Grid
{
ColumnDefinitions =
{
new ColumnDefinition {
Width = new GridLength(1,GridUnitType.Star)
},
new ColumnDefinition {
Width = new GridLength(1,GridUnitType.Star)
}
},
Children =
{
new Button {
Content = "Run"
}.Set(async() =>{ await Task.Run(() => { mp_merge_refined.GetImageD(); }); LogPanel.Log("done."); }).Set(0, 0),
new Button {
Content = "Reset"
}.Set(async() =>{ await Task.Run(() => { mp_merge_refined.Reset(); }); LogPanel.Log("reseted."); }).Set(0, 1)
}
},
//(new ImageViewer(mp_r)),
//(new ImageViewer(mp_hr)),
//(new ImageViewer(mp_g)),
//(new ImageViewer(mp_hg)),
//(new ImageViewer(mp_b)),
//(new ImageViewer(mp_hb)),
new ImageViewer(mp_merge_refined,false),
//new ImageViewer(main_image,false),
//new Controls.PointSelect(source_image_panel,new PointsProviders.PointsCache(new List<ImagePoint>{ new ImagePoint(10,10,1),new ImagePoint(100,50,5) }))
main_features,
side_features
}
}
};
}
