机器视觉通用平台之基于XLD轮廓匹配算法实现类
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using HalconDotNet;
using CWindowTool;
using CvBase;
using System.IO;
namespace CvImageTool.FindShapeModelByXld
{
public class FindShapeModelByXld : BaseImageOpt
{
private string cProcessSettingFilePath = null;
private string cImageOptSettingFilePath = null;
private string cCutImageFilePath = null;
private string cModelHandleFilePatH = null;
private FindShapeModelByXldForm findShapeModelByXldForm = null;
private FindShapeModelByXldTool findShapeModelByXldTool = null;
private int CProcessIndex;
public HObject ROI = null;
public HObject resultContour = null;
public HTuple row;
public HTuple col;
public HTuple angle;
public HTuple score;
public List<BaseProcess> processes = null;
public CWindows[] cCWindows;
public FindShapeModelByXld(int processIndex, int imageOptIndex, string description, EnumOrStruct.RunProcessOrign runProcessOrign)
{
switch (runProcessOrign)
{
case EnumOrStruct.RunProcessOrign.MainProcess:
processes = Refrence.Instance.baseProcesses.ToList();
cCWindows = Refrence.Instance.CWindows;
//获取流程配置文件和算法参数文件路径
cProcessSettingFilePath = Path.Combine(AppSetting.Instance.SubAppSettingRootPath, processes[processIndex].Name);
if (!Directory.Exists(cProcessSettingFilePath)) Directory.CreateDirectory(cProcessSettingFilePath);
cImageOptSettingFilePath = Path.Combine(cProcessSettingFilePath, description) + ".json";
cModelHandleFilePatH = Path.Combine(cProcessSettingFilePath, description) + ".sh";
cCutImageFilePath = Path.Combine(cProcessSettingFilePath, description) + ".hobj";
cProcessSettingFilePath = Path.Combine(cProcessSettingFilePath, AppSetting.Instance.ProcessFormSettingName);
break;
case EnumOrStruct.RunProcessOrign.CalibrationProcess:
processes = Refrence.Instance.calProcesses.ToList();
cCWindows = Refrence.Instance.calCWindows;
cProcessSettingFilePath = Path.Combine(AppSetting.Instance.CalGroupedProcessDir, processes[processIndex].Name);
if (!Directory.Exists(cProcessSettingFilePath)) Directory.CreateDirectory(cProcessSettingFilePath);
cImageOptSettingFilePath = Path.Combine(cProcessSettingFilePath, description) + ".json";
cModelHandleFilePatH = Path.Combine(cProcessSettingFilePath, description) + ".sh";
cCutImageFilePath = Path.Combine(cProcessSettingFilePath, description) + ".hobj";
cProcessSettingFilePath = Path.Combine(cProcessSettingFilePath, AppSetting.Instance.ProcessSettingFileName);
break;
}
this.Description = description;
this.CProcessIndex = processIndex;
this.ImageOptIndex = imageOptIndex;
//将当前算法的输入输出参数添加到公共资源类的输入输出列表
processes[processIndex].BaseImageOutParams.Add(new FindShapeModelByXldOutput());
//创建算法抓圆图像处理工具
findShapeModelByXldTool = new FindShapeModelByXldTool(CProcessIndex, ImageOptIndex, cProcessSettingFilePath, cImageOptSettingFilePath, cCutImageFilePath, cModelHandleFilePatH, processes, cCWindows);
//创建算法抓圆窗体
findShapeModelByXldForm = new FindShapeModelByXldForm(CProcessIndex, ImageOptIndex, cProcessSettingFilePath, cImageOptSettingFilePath, description, cCutImageFilePath, cModelHandleFilePatH, processes, cCWindows);
}
/// <summary>
/// 算法名称
/// </summary>
public override string Name { get; set; }
/// <summary>
/// 算法描述(参数文件的文件名/流程算法显示名称)
/// </summary>
public override string Description { get; set; }
/// <summary>
/// 英文名称,用于配置参数的读写和区分
/// </summary>
public override string EnglishName { get; set; }
/// <summary>
/// 算法所属流程名称
/// </summary>
public override string ParentProcessName { get; set; }
/// <summary>
/// 在所属流程中其索引
/// </summary>
public override int ImageOptIndex { get; set; }
/// <summary>
/// 算法运行
/// </summary>
public override void Running(bool isTest = false)
{
ReadFile();
#region 处理图像参数赋值
string[] imageSelects = findShapeModelByXldTool.imageSelect.Split('_');
if (imageSelects.Length != 2) return;
if (imageSelects[0] == "相机")
{
if (imageSelects[1] == "灰度图")
findShapeModelByXldTool.Image = processes[CProcessIndex].ImageGray;
else
findShapeModelByXldTool.Image = processes[CProcessIndex].ImageHeight;
}
else
{
ProcessTool.Instance.FindImageOpt(processes[CProcessIndex], imageSelects[0], out BaseImageOpt paramByImageOpt1, out int paramByImageOptIndex1);
if (paramByImageOptIndex1 >= 0)
{
processes[CProcessIndex].BaseImageOutParams[paramByImageOptIndex1].GetHObjectValue(imageSelects[1], out HObject value);
findShapeModelByXldTool.Image = value;
}
else
{
return;
}
}
#endregion
#region 仿射矩阵参数赋值
string[] matrixSelect;
if (findShapeModelByXldTool.findShapeModelByXldParam.Affin)
matrixSelect = findShapeModelByXldTool.affinMatrixSelect.Split('_');
else
matrixSelect = new string[0];
if (matrixSelect.Length != 2 && findShapeModelByXldTool.findShapeModelByXldParam.Affin) return;
#endregion
//运行算法
findShapeModelByXldTool.Running(out resultContour, out row, out col, out angle, out score);
HTuple HomMat2D = null;
if (score.Length > 0)
{
if (findShapeModelByXldTool.findShapeModelByXldParam.AngleEnable)
HOperatorSet.VectorAngleToRigid(findShapeModelByXldTool.findShapeModelByXldParam.ModelCenterRow,
findShapeModelByXldTool.findShapeModelByXldParam.ModelCenterCol,
findShapeModelByXldTool.findShapeModelByXldParam.ModelCenterAngle, row, col, angle, out HomMat2D);
else
HOperatorSet.VectorAngleToRigid(findShapeModelByXldTool.findShapeModelByXldParam.ModelCenterRow,
findShapeModelByXldTool.findShapeModelByXldParam.ModelCenterCol,
0, row, col, 0, out HomMat2D);
}
else
{
HOperatorSet.VectorAngleToRigid(0, 0, 0, 0, 0, 0, out HomMat2D);
}
#region 输出参数赋值
processes[CProcessIndex].BaseImageOutParams[ImageOptIndex].Dispose();
processes[CProcessIndex].BaseImageOutParams[ImageOptIndex].ResultContours = resultContour;
processes[CProcessIndex].BaseImageOutParams[ImageOptIndex].AffinMatrix = HomMat2D;
HTuple center = new HTuple();
center.Append(row);
center.Append(col);
processes[CProcessIndex].BaseImageOutParams[ImageOptIndex].CenterPoint = center;
processes[CProcessIndex].BaseImageOutParams[ImageOptIndex].Angle = angle;
processes[CProcessIndex].BaseImageOutParams[ImageOptIndex].Score = score;
#endregion
#region 添加显示
if (findShapeModelByXldTool.isShowModelContour)
{
CObject cObject1 = new CObject();
cObject1._Object = resultContour;
cObject1._Color = "green";
cObject1._Draw = false;
cCWindows[CProcessIndex].AObject.Add(cObject1);
}
if (findShapeModelByXldTool.isShowROI)
{
CObject cObject1 = new CObject();
HOperatorSet.GenRectangle1(out HObject ROI, findShapeModelByXldTool.findShapeModelByXldParam.ROIStartRow,
findShapeModelByXldTool.findShapeModelByXldParam.ROIStartColumn, findShapeModelByXldTool.findShapeModelByXldParam.ROIEndRow,
findShapeModelByXldTool.findShapeModelByXldParam.ROIEndColumn);
processes[CProcessIndex].BaseImageOutParams[ImageOptIndex].MeasureContours = ROI;
cObject1._Object = ROI;
cObject1._Color = "blue";
cObject1._Draw = false;
cCWindows[CProcessIndex].AObject.Add(cObject1);
}
if (findShapeModelByXldTool.isShowModelResult && score.Length >= 1)
{
CText cText01 = new CText();
cText01._Text = "X:" + col.D.ToString("0.00") + "; Y:" + row.D.ToString("0.00") + "; A:" + angle.D.ToString("0.00") + "; Score:" + score.D.ToString("0.00");
cText01._X = 5;
cText01._Y = 5;
cText01._Color = "blue";
cCWindows[CProcessIndex].AText.Add(cText01);
}
#endregion
}
/// <summary>
/// 显示算法相关界面
/// </summary>
public override void show(int processIndex, int imageIndex)
{
findShapeModelByXldForm.ShowDialog();
}
//public abstract bool ReadFile(string cProcessSettingFilePath, string cImgeOptSettingFilePath);
/// <summary>
/// 读取配置文件
/// </summary>
/// <param name="cProcessSettingFilePath"></param>
/// <param name="cImgeOptSettingFilePath"></param>
/// <returns></returns>
public override bool ReadFile()
{
return findShapeModelByXldTool.ReadFile(Description);
}
}
}
魔乐社区(Modelers.cn) 是一个中立、公益的人工智能社区,提供人工智能工具、模型、数据的托管、展示与应用协同服务,为人工智能开发及爱好者搭建开放的学习交流平台。社区通过理事会方式运作,由全产业链共同建设、共同运营、共同享有,推动国产AI生态繁荣发展。
更多推荐


所有评论(0)