Files
HawkeyeVision/Hawkeye.VisionBuilder.Workflow/Operations/Simple/Blobs/FindManyBlobsOperation.cs
2025-08-19 12:45:50 +02:00

222 lines
7.2 KiB
C#

using Hawkeye.VisionBuilder.Workflow.Datatypes.Elements.Origin;
using Hawkeye.VisionBuilder.Workflow.Datatypes.Elements.Poly;
using Hawkeye.VisionBuilder.Workflow.Datatypes.Elements.Rectangle;
using Hawkeye.VisionBuilder.Workflow.Operations.Attributes;
using OpenCvSharp;
using Point = OpenCvSharp.Point;
namespace Hawkeye.VisionBuilder.Workflow.Operations;
[Category("Simple/Blobs")]
public class FindManyBlobsOperation:BaseOperation
{
private readonly WorkflowList _workflowList;
public int MinArea { get; set; } = 100;
public int MaxArea { get; set; } = 99999;
public int MinRadius { get; set; } = 0;
public int MaxRadius { get; set; } = 99999;
public Guid ReferenceId { get; set; } = new Guid();
public RectangleElement SearchArea { get; set; }
//processing result of current element
public FindManyBlobsOperation(WorkflowList workflowList)
{
_workflowList = workflowList;
SearchArea = new RectangleElement()
{
Editable = true,
Location = Vector2.One * 100,
Size = Vector2.One * 100,
IsGood = true
};
}
public record ContourMatch(Point[] c, int area, int radius)
{
public override string ToString()
{
return $"{{area={area}, radius={radius}}}";
}
}
protected override void InterpretInternal(Context context)
{
Result = true;
if (!CheckImageExists(context)) return;
if (!CheckGrayscale(context)) return;
if (SearchArea==null)
{
SearchArea = new RectangleElement()
{
Editable = true,
Location = Vector2.Zero,
Size = new Vector2(context.ActiveImage.ImageData.Width, context.ActiveImage.ImageData.Height),
IsGood = true
};
}
SearchArea.MovePivot(_workflowList.GetOriginById(ReferenceId).Origin.Location);
var img = context.ActiveImage.ImageData;
var mat = new Mat(img.Size(), img.Type(), Scalar.Black);
SearchArea.FillMat(mat);
var contoursMat = img.BitwiseAnd(mat).ToMat();
var contours = contoursMat.Threshold(128, 255, ThresholdTypes.Binary)
.FindContoursAsArray(RetrievalModes.List, ContourApproximationModes.ApproxSimple);
context.GraphicsElements.Add(SearchArea);
//case: no blobs found
if (contours.Length == 0)
{
Status = "No blobs found";
SearchArea.IsGood = true;
return;
}
int GetContourRadius(Point[] contour)
{
Cv2.MinEnclosingCircle(contour, out var center, out var radius);
return (int)radius;
}
//case: blobs found but not matching criteria
var contour = contours.Select(x => new ContourMatch(x, (int)Cv2.ContourArea(x), GetContourRadius(x)))
.OrderBy(x => Math.Min(Math.Abs(x.area - MinArea), Math.Abs(x.area - MaxArea))).ToList();
var match = contour.Where(x => x.c.Length > 1)
.Where(x => x.area >= MinArea && x.area <= MaxArea)
.Where(x => x.radius >= MinRadius && x.radius <= MaxRadius).ToList();
int badCount = 0;
foreach (ContourMatch contourMatch in match)
{
PolyElement poly = new PolyElement() { IsGood = false };
poly.Points = contourMatch.c.Select(x => new Vector2(x.X, x.Y)).ToArray();
context.GraphicsElements.Add(poly);
badCount++;
}
if (badCount > 0)
{
Status = $"Found: {badCount} First: {match.First().ToString()}";
Result = false;
SearchArea.IsGood = false;
return;
}
SearchArea.IsGood = true;
Status = $"Best: {contour.First().ToString()}";
Result = true;
}
public override void SetParameters(Dictionary<string, object> parameters)
{
base.SetParameters(parameters);
SearchArea.SetPivot(_workflowList.GetOriginById(ReferenceId).Origin.Location);
}
public override void Save(BinaryWriter bw)
{
bw.Write(Id.ToString());
bw.Write(Label);
bw.Write(MinArea);
bw.Write(MaxArea);
bw.Write(MinRadius);
bw.Write(MaxRadius);
bw.Write(ReferenceId.ToString());
SearchArea.Save(bw);
}
public override void Load(BinaryReader br)
{
Id = new Guid(br.ReadString());
Label = br.ReadString();
MinArea = br.ReadInt32();
MaxArea = br.ReadInt32();
MinRadius = br.ReadInt32();
MaxRadius = br.ReadInt32();
ReferenceId = new Guid(br.ReadString());
SearchArea.Load(br);
}
public override void Save(Dictionary<string, object> dict)
{
base.Save(dict);
dict[nameof(MinArea)] = MinArea;
dict[nameof(MaxArea)] = MaxArea;
dict[nameof(MinRadius)] = MinRadius;
dict[nameof(MaxRadius)] = MaxRadius;
dict[nameof(ReferenceId)] = ReferenceId.ToString();
// Save SearchArea properties manually
dict["SearchArea_Editable"] = SearchArea.Editable;
dict["SearchArea_IsGood"] = SearchArea.IsGood;
dict["SearchArea_LocationX"] = SearchArea.Location.X;
dict["SearchArea_LocationY"] = SearchArea.Location.Y;
dict["SearchArea_OffsetX"] = SearchArea.Offset.X;
dict["SearchArea_OffsetY"] = SearchArea.Offset.Y;
dict["SearchArea_SizeX"] = SearchArea.Size.X;
dict["SearchArea_SizeY"] = SearchArea.Size.Y;
}
public override void Load(Dictionary<string, object> dict)
{
base.Load(dict);
if (dict.ContainsKey(nameof(MinArea)))
MinArea = Convert.ToInt32(dict[nameof(MinArea)]);
if (dict.ContainsKey(nameof(MaxArea)))
MaxArea = Convert.ToInt32(dict[nameof(MaxArea)]);
if (dict.ContainsKey(nameof(MinRadius)))
MinRadius = Convert.ToInt32(dict[nameof(MinRadius)]);
if (dict.ContainsKey(nameof(MaxRadius)))
MaxRadius = Convert.ToInt32(dict[nameof(MaxRadius)]);
if (dict.ContainsKey(nameof(ReferenceId)))
ReferenceId = new Guid(dict[nameof(ReferenceId)].ToString());
// Load SearchArea properties manually
if (dict.ContainsKey("SearchArea_Editable"))
SearchArea.Editable = Convert.ToBoolean(dict["SearchArea_Editable"]);
if (dict.ContainsKey("SearchArea_IsGood"))
SearchArea.IsGood = Convert.ToBoolean(dict["SearchArea_IsGood"]);
if (dict.ContainsKey("SearchArea_LocationX") && dict.ContainsKey("SearchArea_LocationY"))
SearchArea.Location = new Vector2(Convert.ToSingle(dict["SearchArea_LocationX"]), Convert.ToSingle(dict["SearchArea_LocationY"]));
if (dict.ContainsKey("SearchArea_OffsetX") && dict.ContainsKey("SearchArea_OffsetY"))
SearchArea.Offset = new Vector2(Convert.ToSingle(dict["SearchArea_OffsetX"]), Convert.ToSingle(dict["SearchArea_OffsetY"]));
if (dict.ContainsKey("SearchArea_SizeX") && dict.ContainsKey("SearchArea_SizeY"))
SearchArea.Size = new Vector2(Convert.ToSingle(dict["SearchArea_SizeX"]), Convert.ToSingle(dict["SearchArea_SizeY"]));
}
}