using HalconDotNet;
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using LB_VisionControl;
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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using static System.Runtime.InteropServices.JavaScript.JSType;
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namespace LB_VisionProcesses.Alogrithms.Halcon._2D.HEdgeExtraction
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{
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public enum ImageEnhancementType { Emphasize, EquHisto, ScaleMax }
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[Process("Halcon图像增强", Category = "Halcon2D工具", Description = "创建图像增强工具")]
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internal class HImageEnhancementTool : TAlgorithm
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{
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public HImageEnhancementTool()
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{
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strProcessClass = "LB_VisionProcesses.Alogrithms.Halcon.HImageEnhancementTool";
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strProcessName = "Halcon图像增强工具";
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Params.Inputs.Add("滤波器类型", "边缘增强");
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Params.Inputs.Add("掩膜宽", 2.0);
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Params.Inputs.Add("掩膜高", 10);
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Params.Inputs.Add("增强因子", 20);
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//emphasize(Image : ImageEmphasize : MaskWidth, MaskHeight, Factor : )
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Params.Inputs.Add("滤波器类型", "直方图均衡化");
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//equ_histo_image(Image : ImageEquHisto : : )
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Params.Inputs.Add("滤波器类型", "比例增强");
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//scale_image_max(Image : ImageScaleMax : : )
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Params.ROI = new HSegment(0, 0, 250, 250);
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}
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/// <summary>
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/// 算子逻辑
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/// </summary>
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public override void TAlgorithmMain()
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{
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#region 初始化变量
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HObject ho_Regions, ho_LineXld;
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HOperatorSet.GenEmptyObj(out ho_Regions);
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HOperatorSet.GenEmptyObj(out ho_LineXld);
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#endregion
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try
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{
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if (InputImage == null)
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{
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Msg = "输入图片为空";
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Result = false;
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return;
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}
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#region 裁剪区域
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if (!(Params.ROI is HSegment))
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{
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Msg = "ROI类型错误,必须为HSegment类型";
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Result = false;
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return;
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}
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if (!(InputImage is HObject))
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{
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Msg = "输入图片类型错误,必须为HObject类型";
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Result = false;
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return;
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}
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HObject DomainImage = ((HObject)InputImage)?.CopyObj(1, -1);
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#endregion
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#region 算子逻辑
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Record = new ObjectRecord();
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HObject hoDomainImage = DomainImage as HObject;
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HTuple hv_Channels = new HTuple();
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//判断是否为灰度图
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using (HDevDisposeHelper dh = new HDevDisposeHelper())
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{
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try
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{
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HOperatorSet.CountChannels(hoDomainImage, out hv_Channels);
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if (hv_Channels.TupleInt() != 1)
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HOperatorSet.Rgb1ToGray(hoDomainImage, out hoDomainImage);
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//转换后再次检查是否为灰度图
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HOperatorSet.CountChannels(hoDomainImage, out hv_Channels);
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if (hv_Channels.TupleInt() != 1)
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{
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HOperatorSet.Rgb1ToGray(hoDomainImage, out hoDomainImage);
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Msg = "输入图片不为灰度图";
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Result = false;
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return;
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}
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}
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catch
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{
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Msg = "输入图片不为灰度图且转换失败";
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Result = false;
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return;
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}
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}
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int hv_MaskWidth = Convert.ToInt16(Params.Inputs["掩膜宽"]);
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int hv_MaskHight = Convert.ToInt16(Params.Inputs["掩膜高"]);
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double hv_Factor = Convert.ToDouble(Params.Inputs["增强因子"]);
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Enum.TryParse(Params.Inputs["图像增强类型"]?.ToString(), out ImageEnhancementType imageEnhancementType);
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string hv_ImageEnhancementType = "scaleMax";
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switch (imageEnhancementType)
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{
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case ImageEnhancementType.Emphasize:
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hv_ImageEnhancementType = "emphasize";
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break;
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case ImageEnhancementType.EquHisto:
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hv_ImageEnhancementType = "equHisto";
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break;
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case ImageEnhancementType.ScaleMax:
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default:
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hv_ImageEnhancementType = "scaleMax";
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break;
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}
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double hv_Row1 = Convert.ToDouble(((HSegment)Params.ROI).BeginRow + Params.Fixture.Row);
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double hv_Column1 = Convert.ToDouble(((HSegment)Params.ROI).BeginColumn + Params.Fixture.Column);
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double hv_Row2 = Convert.ToDouble(((HSegment)Params.ROI).EndRow + Params.Fixture.Row);
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double hv_Column2 = Convert.ToDouble(((HSegment)Params.ROI).EndColumn + Params.Fixture.Column);
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Emphsize(hoDomainImage, out ho_Regions, hv_Column1, hv_Row2, hv_Column2);
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#endregion
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#region 生成OutputImage给后续处理
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try
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{
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OutputImage = hoDomainImage;
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}
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catch (Exception ex)
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{
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Msg = "生成OutputImage失败,原因是:" + ex.ToString();
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Result = false;
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return;
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}
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#endregion
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if (Msg == "运行超时")
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{
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Result = false;
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return;
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}
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Msg = "运行成功";
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Result = true;
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return;
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}
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catch (Exception ex)
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{
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Msg = "运行失败,原因是:" + ex.ToString().TrimEnd();
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OutputImage = null;
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Result = false;
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return;
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}
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finally
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{
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if (!Result)
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{
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Params.Outputs.Add("Segment", new HSegment());
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}
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bCompleted = true;
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#region 内存释放
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ho_Regions.Dispose();
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#endregion
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}
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}
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}
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}
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