规范类名及命名空间名称

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

@@ -0,0 +1,95 @@
+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件� IntegralProcessor.cs
+// �述: 积分�算算�，计算积分图�
+// 功能:
+//   - 计算积分图�（累加和�
+//   - 用于快速区域求�
+//   - 支�归一化输�
+// 算法: 积分图�算法
+// 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>
+/// 积分�算算�
+/// </summary>
+public class IntegralProcessor : ImageProcessorBase
+{
+    private static readonly ILogger _logger = Log.ForContext<IntegralProcessor>();
+
+    public IntegralProcessor()
+    {
+        Name = LocalizationHelper.GetString("IntegralProcessor_Name");
+        Description = LocalizationHelper.GetString("IntegralProcessor_Description");
+    }
+
+    protected override void InitializeParameters()
+    {
+        Parameters.Add("Normalize", new ProcessorParameter(
+            "Normalize",
+            LocalizationHelper.GetString("IntegralProcessor_Normalize"),
+            typeof(bool),
+            true,
+            null,
+            null,
+            LocalizationHelper.GetString("IntegralProcessor_Normalize_Desc")));
+
+        _logger.Debug("InitializeParameters");
+    }
+
+    public override Image<Gray, byte> Process(Image<Gray, byte> inputImage)
+    {
+        bool normalize = GetParameter<bool>("Normalize");
+
+        int width = inputImage.Width;
+        int height = inputImage.Height;
+
+        // 使用double类型��溢出
+        var integralImage = new Image<Gray, double>(width, height);
+
+        // 计算积分图�
+        for (int y = 0; y < height; y++)
+        {
+            for (int x = 0; x < width; x++)
+            {
+                double sum = inputImage.Data[y, x, 0];
+
+                if (x > 0)
+                    sum += integralImage.Data[y, x - 1, 0];
+                if (y > 0)
+                    sum += integralImage.Data[y - 1, x, 0];
+                if (x > 0 && y > 0)
+                    sum -= integralImage.Data[y - 1, x - 1, 0];
+
+                integralImage.Data[y, x, 0] = sum;
+            }
+        }
+
+        var result = integralImage.Convert<Gray, float>();
+
+        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));
+            }
+        }
+
+        integralImage.Dispose();
+        _logger.Debug("Process: Normalize = {Normalize}", normalize);
+        return result.Convert<Gray, byte>();
+    }
+}