兰宝轮胎外观检测视觉软件
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C3031
2026-03-06 8db52bc296f662691a17aabeeabebd713e3b576d 
 LB_VisionProcesses/Alogrithms/Halcon/2D/HImageEnhancementTool/HImageEnhancementTool.cs


@@ -1,7 +1,9 @@


using HalconDotNet;


using LB_SmartVisionCommon;


using LB_VisionControl;


using System;


using System.Collections.Generic;


using System.Drawing.Imaging;


using System.Linq;


using System.Text;


using System.Threading.Tasks;


@@ -11,13 +13,13 @@


{


    public enum ImageEnhancementType { Emphasize, EquHisto, ScaleMax }




    [Process("Halcon图像增强", Category = "Halcon2D工具", Description = "创建图像增强工具")]


    [Process("Halcon2D图像增强", Category = "Halcon2D工具", Description = "创建图像增强工具")]    


    public class HImageEnhancementTool : TAlgorithm


    {


        public HImageEnhancementTool()


        {


            strProcessClass = "LB_VisionProcesses.Alogrithms.Halcon.HImageEnhancementTool";


            strProcessName = "Halcon图像增强工具";


            strProcessName = "Halcon2D图像增强工具";




            Params.Inputs.Add("滤波器类型", "边缘增强");


            Params.Inputs.Add("掩膜宽", 1);


@@ -33,7 +35,8 @@




            Params.ROI = new HSegment(0, 0, 250, 250);


        }


    




        List<RecordImageEnhancementData> recordImageEnhancementDatas = new List<RecordImageEnhancementData>();


        /// <summary>


        /// 算子逻辑


        /// </summary>


@@ -53,23 +56,56 @@


                    Result = false;


                    return;


                }




                #region 裁剪区域


                if (!(Params.ROI is HSegment))


                if (InputImage is Bitmap)


                {


                    Msg = "ROI类型错误,必须为HSegment类型";


                    Result = false;


                    return;


                    try


                    {


                        using (HImage hImage = new HImage())


                        {


                            Bitmap bitmap = (Bitmap)InputImage;


                            Rectangle rect = new Rectangle(0, 0, ((Bitmap)bitmap).Width, ((Bitmap)bitmap).Height);


                            BitmapData srcBmpData = ((Bitmap)bitmap).LockBits(rect, ImageLockMode.ReadOnly, PixelFormat.Format32bppRgb);


                            hImage.GenImageInterleaved(srcBmpData.Scan0, "rgbx", ((Bitmap)bitmap).Width, ((Bitmap)bitmap).Height, 0, "byte", ((Bitmap)bitmap).Width, ((Bitmap)bitmap).Height, 0, 0, -1, 0);


                            ((Bitmap)bitmap).UnlockBits(srcBmpData);


                            bitmap.Dispose();


                            bitmap = null;


                            InputImage = null;


                            InputImage = hImage.Clone();


                        }


                    }


                    catch (Exception ex)


                    {


                    }


                }




                if (!(InputImage is HObject))


                {


                    Msg = "输入图片类型错误,必须为HObject类型";


                    Msg = "输入图片格式不为HObject";


                    Result = false;


                    return;


                }


                #region 裁剪区域


                //if (!(Params.ROI is HSegment))


                //{


                //    Msg = "ROI类型错误,必须为HSegment类型";


                //    Result = false;


                //    return;


                //}




                HObject DomainImage = ((HObject)InputImage)?.CopyObj(1, -1);


                //if (!(InputImage is HObject))


                //{


                //    Msg = "输入图片类型错误,必须为HObject类型";


                //    Result = false;


                //    return;


                //}




                //HObject DomainImage = ((HObject)InputImage)?.CopyObj(1, -1);


                object DomainImage = null;


                if (!ReduceDomainImage(InputImage, ref DomainImage))


                {


                    Msg = "裁剪区域失败";


                    Result = false;


                    return;


                }


                #endregion




                #region 算子逻辑


@@ -106,30 +142,37 @@


                int hv_MaskWidth = Convert.ToInt16(Params.Inputs["掩膜宽"]);


                int hv_MaskHight = Convert.ToInt16(Params.Inputs["掩膜高"]);


                double hv_Factor = Convert.ToDouble(Params.Inputs["增强因子"]);


                


                recordImageEnhancementDatas = ImageEnhancementManager.Instance.GetAllUsers();




                Enum.TryParse(Params.Inputs["图像增强类型"]?.ToString(), out ImageEnhancementType imageEnhancementType);


                string hv_ImageEnhancementType = "scaleMax";


                switch (imageEnhancementType)


                string hv_ImageEnhancementType = "";


                foreach (var recordImageEnhancementData in recordImageEnhancementDatas)


                {


                    case ImageEnhancementType.Emphasize:


                        hv_ImageEnhancementType = "emphasize";


                    switch (recordImageEnhancementData.FilterName)


                    {


                        case ImageEnhancementDataType.边缘增强_ImageEmphasize:


                            hv_ImageEnhancementType = "emphasize";


                            hv_MaskWidth = Convert.ToInt16(recordImageEnhancementData.MaskWidth);


                            hv_MaskHight = Convert.ToInt16(recordImageEnhancementData.MaskHight);


                            hv_Factor = Convert.ToDouble(recordImageEnhancementData.Factor);


                            ImageEnhancement(hoDomainImage, out ho_Regions, hv_ImageEnhancementType, hv_MaskWidth, hv_MaskHight, hv_Factor);


                            break;


                        case ImageEnhancementDataType.直方图均衡化_EquHistoImage:


                            hv_ImageEnhancementType = "equhisto";


                            ImageEnhancement(hoDomainImage, out ho_Regions, hv_ImageEnhancementType, hv_MaskWidth, hv_MaskHight, hv_Factor);


                            break;


                        case ImageEnhancementDataType.比例增强_ScaleImageMax:


                            hv_ImageEnhancementType = "scaleimageMax";


                            ImageEnhancement(hoDomainImage, out ho_Regions, hv_ImageEnhancementType, hv_MaskWidth, hv_MaskHight, hv_Factor);


                            break;


                        default:


                            hv_ImageEnhancementType = "scaleImageMax";


                            ImageEnhancement(hoDomainImage, out ho_Regions, hv_ImageEnhancementType, hv_MaskWidth, hv_MaskHight, hv_Factor);


                            break;


                    }




                        break;


                    case ImageEnhancementType.EquHisto:


                        hv_ImageEnhancementType = "equHisto";




                        break;


                    case ImageEnhancementType.ScaleMax:


                    default:


                        hv_ImageEnhancementType = "scaleMax";


                        break;


                }


                double hv_Row1 = Convert.ToDouble(((HSegment)Params.ROI).BeginRow + Params.Fixture.Row);


                double hv_Column1 = Convert.ToDouble(((HSegment)Params.ROI).BeginColumn + Params.Fixture.Column);


                double hv_Row2 = Convert.ToDouble(((HSegment)Params.ROI).EndRow + Params.Fixture.Row);


                double hv_Column2 = Convert.ToDouble(((HSegment)Params.ROI).EndColumn + Params.Fixture.Column);




                ImageEnhancement(hoDomainImage, out ho_Regions, hv_ImageEnhancementType, hv_Column1, hv_Row2, hv_Column2);


                #endregion