using HalconDotNet;
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using LB_SmartVisionCommon;
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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.Drawing.Imaging;
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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
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{
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public enum ImageEnhancementType { Emphasize, EquHisto, ScaleMax }
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[Process("Halcon2D图像增强", Category = "Halcon2D工具", Description = "创建图像增强工具")]
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public 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 = "Halcon2D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", 1);
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Params.Inputs.Add("掩膜高", 1);
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Params.Inputs.Add("增强因子", 1.0);
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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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List<RecordImageEnhancementData> recordImageEnhancementDatas = new List<RecordImageEnhancementData>();
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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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if (InputImage is Bitmap)
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{
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try
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{
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using (HImage hImage = new HImage())
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{
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Bitmap bitmap = (Bitmap)InputImage;
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Rectangle rect = new Rectangle(0, 0, ((Bitmap)bitmap).Width, ((Bitmap)bitmap).Height);
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BitmapData srcBmpData = ((Bitmap)bitmap).LockBits(rect, ImageLockMode.ReadOnly, PixelFormat.Format32bppRgb);
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hImage.GenImageInterleaved(srcBmpData.Scan0, "rgbx", ((Bitmap)bitmap).Width, ((Bitmap)bitmap).Height, 0, "byte", ((Bitmap)bitmap).Width, ((Bitmap)bitmap).Height, 0, 0, -1, 0);
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((Bitmap)bitmap).UnlockBits(srcBmpData);
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bitmap.Dispose();
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bitmap = null;
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InputImage = null;
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InputImage = hImage.Clone();
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}
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}
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catch (Exception ex)
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{
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}
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}
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if (!(InputImage is HObject))
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{
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Msg = "输入图片格式不为HObject";
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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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object DomainImage = null;
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if (!ReduceDomainImage(InputImage, ref DomainImage))
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{
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Msg = "裁剪区域失败";
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Result = false;
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return;
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}
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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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recordImageEnhancementDatas = ImageEnhancementManager.Instance.GetAllUsers();
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string hv_ImageEnhancementType = "";
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foreach (var recordImageEnhancementData in recordImageEnhancementDatas)
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{
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switch (recordImageEnhancementData.FilterName)
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{
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case ImageEnhancementDataType.边缘增强_ImageEmphasize:
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hv_ImageEnhancementType = "emphasize";
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hv_MaskWidth = Convert.ToInt16(recordImageEnhancementData.MaskWidth);
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hv_MaskHight = Convert.ToInt16(recordImageEnhancementData.MaskHight);
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hv_Factor = Convert.ToDouble(recordImageEnhancementData.Factor);
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ImageEnhancement(hoDomainImage, out ho_Regions, hv_ImageEnhancementType, hv_MaskWidth, hv_MaskHight, hv_Factor);
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break;
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case ImageEnhancementDataType.直方图均衡化_EquHistoImage:
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hv_ImageEnhancementType = "equhisto";
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ImageEnhancement(hoDomainImage, out ho_Regions, hv_ImageEnhancementType, hv_MaskWidth, hv_MaskHight, hv_Factor);
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break;
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case ImageEnhancementDataType.比例增强_ScaleImageMax:
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hv_ImageEnhancementType = "scaleimageMax";
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ImageEnhancement(hoDomainImage, out ho_Regions, hv_ImageEnhancementType, hv_MaskWidth, hv_MaskHight, hv_Factor);
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break;
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default:
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hv_ImageEnhancementType = "scaleImageMax";
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ImageEnhancement(hoDomainImage, out ho_Regions, hv_ImageEnhancementType, hv_MaskWidth, hv_MaskHight, hv_Factor);
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break;
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}
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}
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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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