public void SerializeCheck()
{
if (scan_regions != null && scan_regions.IsInitialized())
{
scan_regions.Dispose();
}
if (resultXLDCont != null && resultXLDCont.IsInitialized())
{
resultXLDCont.Dispose();
}
if (resultRegion != null && resultRegion.IsInitialized())
{
resultRegion.Dispose();
}
refImage = null;
createShapeModel = null;
if (SearchRegion != null && !SearchRegion.IsInitialized())
{
SearchRegion = null;
}
using (Stream objectStream = new MemoryStream())
{
System.Runtime.Serialization.IFormatter formatter = new System.Runtime.Serialization.Formatters.Binary.BinaryFormatter();
formatter.Serialize(objectStream, this);
}
}
public void Reset()
{
if (SearchRegion != null && !SearchRegion.IsInitialized())
{
SearchRegion.Dispose();
}
SearchRegion = null;
refImage = null;
createShapeModel = null;
FindShapeModeRoiList = new List <ROI>();
}
private void FindScaleShapeMode(CreateShapeModel createShapeModel, HImage temp)
{
createShapeModel.hShapeModel.SetShapeModelParam(new HTuple("timeout"), new HTuple(80.0));
try
{
createShapeModel.hShapeModel.FindScaledShapeModel(
temp,
createShapeModel.angleStart, createShapeModel.angleExtent,
createShapeModel.scaleMin, createShapeModel.scaleMax,
minScore, numMatches,
maxOverlap,
new HTuple(subPixel).TupleConcat("max_deformation 2"),
new HTuple(new int[] { createShapeModel.numLevels, numLevels }),
greediness,
out row_temp, out column_temp, out angle_temp, out scale_temp, out score_temp);
}
catch
{
}
}
public void Close()
{
if (scan_regions != null && scan_regions.IsInitialized())
{
scan_regions.Dispose();
}
if (resultXLDCont != null && resultXLDCont.IsInitialized())
{
resultXLDCont.Dispose();
}
resultXLDCont = null;
if (resultRegion != null && resultRegion.IsInitialized())
{
resultRegion.Dispose();
}
resultRegion = null;
refImage = null;
createShapeModel = null;
if (SearchRegion != null && SearchRegion.IsInitialized())
{
SearchRegion.Dispose();
}
SearchRegion = null;
}
public bool FindShapeModeAct(HImage refImage, CreateShapeModel createShapeModel, HImage image)
{
this.createShapeModel = createShapeModel;
this.refImage = refImage;
if (createShapeModel.hShapeModel == null || !createShapeModel.hShapeModel.IsInitialized() || createShapeModel.createNewModelID)
{
if (!createShapeModel.CreateShapeModelAct(refImage))
{
return(false);
}
}
try
{
HImage searchImage;
if (SearchRegion != null && SearchRegion.IsInitialized())
{
searchImage = image.ReduceDomain(SearchRegion);
}
else
{
searchImage = image.Clone();
}
////阈值切割出预选框///
LG_lenght = new HTuple();
LG_Area = new HTuple();
DP_width = new HTuple();
HRegion threshold_region, closing_region, fill_up_region, connection;
threshold_region = searchImage.Threshold(new HTuple(LG_threshould), 255).OpeningCircle(5.0);
closing_region = threshold_region.ClosingRectangle1(Closing_width, Closing_height);
fill_up_region = closing_region.FillUp();
connection = fill_up_region.Connection();
if (scan_regions != null && scan_regions.IsInitialized())
{
scan_regions.Dispose();
}
scan_regions = connection.SelectShape
(
new HTuple("area").TupleConcat("rect2_len1").TupleConcat("rect2_len2"),
"and",
new HTuple(LG_Area_min).TupleConcat(LG_lenght_min / 2).TupleConcat(DP_width_min / 2),
new HTuple(LG_Area_max).TupleConcat(LG_lenght_max / 2).TupleConcat(DP_width_max / 2)
);
if (threshold_region != null && threshold_region.IsInitialized())
{
threshold_region.Dispose();
}
if (closing_region != null && closing_region.IsInitialized())
{
closing_region.Dispose();
}
if (fill_up_region != null && fill_up_region.IsInitialized())
{
fill_up_region.Dispose();
}
if (connection != null && connection.IsInitialized())
{
connection.Dispose();
}
////阈值切割出预选框///
row = new HTuple();
column = new HTuple();
angle = new HTuple();
scale = new HTuple();
score = new HTuple();
int Num = scan_regions.CountObj();
if (Num == 0)
{
return(true);
}
for (int i = 1; i <= Num; i++)
{
HRegion scan_region_temp = scan_regions.SelectObj(i);
double row_rect2, col_rect2, phi_rect2, leght1_rect2, lenght2_rect2;
scan_region_temp.SmallestRectangle2(out row_rect2, out col_rect2, out phi_rect2, out leght1_rect2, out lenght2_rect2);
if (LG_lenght == null || LG_lenght.Length == 0)
{
LG_lenght = new HTuple(2 * leght1_rect2);
}
else
{
LG_lenght = LG_lenght.TupleConcat(new HTuple(2 * leght1_rect2));
}
if (DP_width == null || DP_width.Length == 0)
{
DP_width = new HTuple(2 * lenght2_rect2);
}
else
{
DP_width = DP_width.TupleConcat(new HTuple(2 * lenght2_rect2));
}
if (LG_Area == null || LG_Area.Length == 0)
{
LG_Area = scan_region_temp.Area;
}
else
{
LG_Area = LG_Area.TupleConcat(scan_region_temp.Area);
}
row_temp = new HTuple();
column_temp = new HTuple();
angle_temp = new HTuple();
scale_temp = new HTuple();
score_temp = new HTuple();
//HRegion dilation_Diff = image.GetDomain().Difference(scan_region_temp.DilationCircle(10.0));
//HImage souce_image_temp = image.Clone();
//HImage paint_image = souce_image_temp.PaintRegion(dilation_Diff, new HTuple(10).TupleConcat(10).TupleConcat(10), "fill");
//HImage temp = paint_image.ReduceDomain(scan_region_temp.DilationCircle(10.0));
HImage temp = image.ReduceDomain(scan_region_temp.DilationCircle(10.0));
HImage guassImage = temp.GaussFilter(7);
//HOperatorSet.SetSystem("thread_num", 4);
HTuple t1;
HOperatorSet.CountSeconds(out t1);
try
{
createShapeModel.hShapeModel.FindScaledShapeModel(
guassImage,
createShapeModel.angleStart, createShapeModel.angleExtent,
createShapeModel.scaleMin, createShapeModel.scaleMax,
minScore, numMatches,
maxOverlap,
new HTuple(subPixel).TupleConcat("max_deformation 2"),
new HTuple(new int[] { createShapeModel.numLevels, numLevels }),
greediness,
out row_temp, out column_temp, out angle_temp, out scale_temp, out score_temp);
}
catch
{
}
HTuple t2;
HOperatorSet.CountSeconds(out t2);
double time = (t2 - t1).D * 1000;
Util.Notify("每次模板匹配用时:" + time.ToString("F2") + "ms");
guassImage.Dispose();
temp.Dispose();
//souce_image_temp.Dispose();
//paint_image.Dispose();
//dilation_Diff.Dispose();
scan_region_temp.Dispose();
if (row_temp != null && row_temp.Length > 0)
{
if (row.Length == 0)
{
row = row_temp;
column = column_temp;
angle = angle_temp;
scale = scale_temp;
score = score_temp;
}
else
{
row = row.TupleConcat(row_temp);
column = column.TupleConcat(column_temp);
angle = angle.TupleConcat(angle_temp);
scale = scale.TupleConcat(scale_temp);
score = score.TupleConcat(score_temp);
}
}
}
searchImage.Dispose();
}
catch
{
return(false);
}
return(true);
}
