C3031

2026-01-30 22ff831583da8c6f1c015c1e294f0bc1ef70ac85

 LB_VisionProcesses/Alogrithms/BaseAlgorithm/TAlgorithm.cs

@@ -41,7 +41,7 @@
        /// <summary>
        /// 读写锁
        /// </summary>
        public readonly object lockObj = new object();
        public static readonly object lockObj = new object();

        /// <summary>
        /// 裁切图片为hoDomainImage(保留原坐标系,其余填充为空)
@@ -304,7 +304,16 @@
            Result = true;
            bCompleted = false;
            Msg = "";
            OutputImage = null;
            if (OutputImage != null)
            {
                if (OutputImage is HObject)
                    ((HObject)OutputImage).Dispose();
                else if (OutputImage is Mat)
                    ((Mat)OutputImage).Dispose();
                else if (OutputImage is Bitmap)
                    ((Bitmap)OutputImage).Dispose();
                OutputImage = null;
            }

            if (Record != null)
                Record.Dispose();
@@ -645,6 +654,7 @@
                else
                {
                    throw new ArgumentException($"Mat2HObject不支持的图像格式：{mat.Type()}");
                    return;
                }
                return;
            }
@@ -1237,10 +1247,10 @@
                HOperatorSet.GenImageConst(out image, "real", hv_xMax + 1, hv_yMax + 1);
                HOperatorSet.SetGrayval(image, hv_y, hv_x, hv_z);

                //hoperatorset.getimagesize(ho_image, out htuple hv_width, out htuple hv_height);
                //hoperatorset.genrectangle1(out hobject ho_rectangle, 0, 0, hv_height - 1, hv_width - 1);
                //hoperatorset.getregionpoints(ho_rectangle, out htuple hv_rows, out htuple hv_columns);
                //hoperatorset.getgrayval(ho_image, hv_rows, hv_columns, out htuple hv_z);
                //HOperatorSet.GetImageSize(ho_Image, out HTuple hv_Width, out HTuple hv_Height);
                //HOperatorSet.GenRectangle1(out HObject ho_Rectangle, 0, 0, hv_Height - 1, hv_Width - 1);
                //HOperatorSet.GetRegionPoints(ho_Rectangle, out HTuple hv_Rows, out HTuple hv_Columns);
                //HOperatorSet.GetGrayval(ho_Image, hv_Rows, hv_Columns, out HTuple hv_Z);
            }
            catch { image = null; }
        }
@@ -3823,6 +3833,61 @@
        }

        /// <summary>
        /// 图像增强算法-边缘增强
        /// </summary>
        /// <param name="ho_Image">待测图片</param>
        /// <param name="hv_Wid">掩膜宽</param>
        /// <param name="hv_High">掩膜高</param>
        /// <param name="hv_Fac">增强因子</param>
        /// <param name="hv_Row1">起始纵坐标</param>
        /// <param name="hv_Column1">起始横坐标</param>
        /// <param name="hv_Row2">结束纵坐标</param>
        /// <param name="hv_Column2">结束横坐标</param>
        public static void ImageEnhancement(HObject ho_Image, out HObject ho_OutImage, HTuple hv_ImageEnhancementType, HTuple hv_Wid, HTuple hv_High, HTuple hv_Fac)
        {
            HOperatorSet.GenEmptyObj(out ho_OutImage);
            try
            {
                HTuple hv_ImageEnhancementTypeOut = new HTuple();
                hv_ImageEnhancementTypeOut.Dispose();
                hv_ImageEnhancementTypeOut = new HTuple(hv_ImageEnhancementType);

                hv_Wid.Dispose();
                hv_High.Dispose();
                ho_OutImage.Dispose();

                //设置图像增强算法
                if ((int)(new HTuple(hv_ImageEnhancementTypeOut.TupleEqual("emphasize"))) != 0)
                {
                    hv_ImageEnhancementTypeOut.Dispose();
                    hv_ImageEnhancementTypeOut = "emphasize";
                    HOperatorSet.Emphasize(ho_Image, out ho_OutImage, hv_Wid, hv_High, hv_Fac);
                }
                else if ((int)(new HTuple(hv_ImageEnhancementTypeOut.TupleEqual("equHisto"))) != 0)
                {
                    hv_ImageEnhancementTypeOut.Dispose();
                    hv_ImageEnhancementTypeOut = "equHisto";
                    HOperatorSet.ScaleImageMax(ho_Image, out ho_OutImage);
                }
                else
                {
                    hv_ImageEnhancementTypeOut.Dispose();
                    hv_ImageEnhancementTypeOut = "scaleMax";
                    HOperatorSet.EquHistoImage(ho_Image, out ho_OutImage);
                }
                return;
            }
            catch (HalconException HDevExpDefaultException)
            {

                hv_Wid.Dispose();
                hv_High.Dispose();

                throw HDevExpDefaultException;
            }
        }
       
        /// <summary>
        /// 卡尺算法
        /// </summary>
        /// <param name="ho_Image">待测图片</param>