修复了 master 分支中的编译错误

C3032

2026-03-23 68a4b459eeb18effb8b3096add3d88c15629ab69

 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 +3833,93 @@
        }

        /// <summary>
        /// 图像增强算法-边缘增强
        /// </summary>
        /// <param name="ho_Image">待测图片</param>
        /// <param name="hv_ImageEnhancementType">滤波器类型(mean/gauss/median)</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>

        public static void ImageEnhancement(HObject ho_Image, out HObject ho_OutImage, string hv_ImageEnhancementType, int hv_Wid, int hv_High, double hv_Fac)
        {
            HOperatorSet.GenEmptyObj(out ho_OutImage);
            
            try
            {
                // 根据滤波器类型执行相应操作
                switch (hv_ImageEnhancementType.ToLower())
                {
                    case "emphasize":
                        HOperatorSet.Emphasize(ho_Image, out ho_OutImage, hv_Wid, hv_High, hv_Fac);
                        break;

                    case "scaleimagemax":  
                        HOperatorSet.ScaleImageMax(ho_Image, out ho_OutImage);
                        break;

                    case "equhisto":
                        HOperatorSet.EquHistoImage(ho_Image, out ho_OutImage);
                        break;

                    default:
                        throw new ArgumentException($"不支持的滤波器类型: {hv_ImageEnhancementType}");
                }
            }
            catch (Exception ex)
            {
                // 确保异常时释放资源
                ho_OutImage?.Dispose();
                throw new Exception($"图像滤波失败: {ex.Message}", ex);
            }
        }

        /// <summary>
        /// 图像滤波
        /// </summary>
        /// <param name="ho_Image">待测图片</param>
        /// <param name="ho_OutImage">输出图片</param>
        /// <param name="hv_FilterType">滤波器类型(mean/gauss/median)</param>
        /// <param name="hv_Wid">掩膜宽</param>
        /// <param name="hv_High">掩膜高</param>
        /// <param name="hv_Size">高斯核尺寸</param>
        public static void Filter(HObject ho_Image, out HObject ho_OutImage, string hv_FilterType, int hv_Wid, int hv_High, int hv_Size)
        {
            // 初始化输出对象
            HOperatorSet.GenEmptyObj(out ho_OutImage);

            try
            {
                // 根据滤波器类型执行相应操作
                switch (hv_FilterType.ToLower())
                {
                    case "mean":
                        HOperatorSet.MeanImage(ho_Image, out ho_OutImage, hv_Wid, hv_High);
                        break;

                    case "gauss":
                    case "guass":  // 兼容拼写错误
                        HOperatorSet.GaussFilter(ho_Image, out ho_OutImage, hv_Size);
                        break;

                    case "median":
                        HOperatorSet.MedianRect(ho_Image, out ho_OutImage, hv_Wid, hv_High);
                        break;

                    default:
                        throw new ArgumentException($"不支持的滤波器类型: {hv_FilterType}");
                }
            }
            catch (Exception ex)
            {
                // 确保异常时释放资源
                ho_OutImage?.Dispose();
                throw new Exception($"图像滤波失败: {ex.Message}", ex);
            }
        }


        /// <summary>
        /// 卡尺算法
        /// </summary>
        /// <param name="ho_Image">待测图片</param>