规范类名及命名空间名称

XP.ImageProcessing.Processors/数学运算/DifferenceProcessor.cs

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+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件� DifferenceProcessor.cs
+// �述: 差分�算算�，用于边缘检测和�化检�
+// 功能:
+//   - 对图�进行差分��
+//   - 支�水平�垂直和对角线差�
+//   - �用于边缘检�
+//   - �选归一化输�
+// 算法: �素级差分��
+// 作� �伟 wei.lw.li@hexagon.com
+// ============================================================================
+
+using Emgu.CV;
+using Emgu.CV.Structure;
+using Serilog;
+using System.Drawing;
+using XP.ImageProcessing.Core;
+
+namespace XP.ImageProcessing.Processors;
+
+/// <summary>
+/// 差分�算算�
+/// </summary>
+public class DifferenceProcessor : ImageProcessorBase
+{
+    private static readonly ILogger _logger = Log.ForContext<DifferenceProcessor>();
+
+    public DifferenceProcessor()
+    {
+        Name = LocalizationHelper.GetString("DifferenceProcessor_Name");
+        Description = LocalizationHelper.GetString("DifferenceProcessor_Description");
+    }
+
+    protected override void InitializeParameters()
+    {
+        Parameters.Add("Direction", new ProcessorParameter(
+            "Direction",
+            LocalizationHelper.GetString("DifferenceProcessor_Direction"),
+            typeof(string),
+            "Horizontal",
+            null,
+            null,
+            LocalizationHelper.GetString("DifferenceProcessor_Direction_Desc"),
+            new string[] { "Horizontal", "Vertical", "Both" }));
+
+        Parameters.Add("Normalize", new ProcessorParameter(
+            "Normalize",
+            LocalizationHelper.GetString("DifferenceProcessor_Normalize"),
+            typeof(bool),
+            true,
+            null,
+            null,
+            LocalizationHelper.GetString("DifferenceProcessor_Normalize_Desc")));
+
+        _logger.Debug("InitializeParameters");
+    }
+
+    public override Image<Gray, byte> Process(Image<Gray, byte> inputImage)
+    {
+        string direction = GetParameter<string>("Direction");
+        bool normalize = GetParameter<bool>("Normalize");
+
+        int width = inputImage.Width;
+        int height = inputImage.Height;
+
+        var floatImage = inputImage.Convert<Gray, float>();
+        var result = new Image<Gray, float>(width, height);
+
+        if (direction == "Horizontal")
+        {
+            // 水平差分: I(x+1,y) - I(x,y)
+            for (int y = 0; y < height; y++)
+            {
+                for (int x = 0; x < width - 1; x++)
+                {
+                    result.Data[y, x, 0] = floatImage.Data[y, x + 1, 0] - floatImage.Data[y, x, 0];
+                }
+                result.Data[y, width - 1, 0] = 0;
+            }
+        }
+        else if (direction == "Vertical")
+        {
+            // 垂直差分: I(x,y+1) - I(x,y)
+            for (int y = 0; y < height - 1; y++)
+            {
+                for (int x = 0; x < width; x++)
+                {
+                    result.Data[y, x, 0] = floatImage.Data[y + 1, x, 0] - floatImage.Data[y, x, 0];
+                }
+            }
+            for (int x = 0; x < width; x++)
+            {
+                result.Data[height - 1, x, 0] = 0;
+            }
+        }
+        else // Both
+        {
+            // 梯度幅� sqrt((dx)^2 + (dy)^2)
+            for (int y = 0; y < height - 1; y++)
+            {
+                for (int x = 0; x < width - 1; x++)
+                {
+                    float dx = floatImage.Data[y, x + 1, 0] - floatImage.Data[y, x, 0];
+                    float dy = floatImage.Data[y + 1, x, 0] - floatImage.Data[y, x, 0];
+                    result.Data[y, x, 0] = (float)Math.Sqrt(dx * dx + dy * dy);
+                }
+            }
+        }
+
+        if (normalize)
+        {
+            double minVal = 0, maxVal = 0;
+            Point minLoc = new Point();
+            Point maxLoc = new Point();
+            CvInvoke.MinMaxLoc(result, ref minVal, ref maxVal, ref minLoc, ref maxLoc);
+
+            if (maxVal > minVal)
+            {
+                result = (result - minVal) * (255.0 / (maxVal - minVal));
+            }
+        }
+
+        floatImage.Dispose();
+        _logger.Debug("Process: Direction = {Direction}, Normalize = {Normalize}", direction, normalize);
+        return result.Convert<Gray, byte>();
+    }
+}