规范类名及命名空间名称

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

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+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件� MultiplicationProcessor.cs
+// �述: 乘法�算算�，用于图�增�
+// 功能:
+//   - 对图��素值进行乘法��
+//   - 支�增益调整
+//   - �选归一化输�
+//   - 常用于图�增强和对比度调�
+// 算法: �素级乘法��
+// 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>
+/// 乘法�算算�
+/// </summary>
+public class MultiplicationProcessor : ImageProcessorBase
+{
+    private static readonly ILogger _logger = Log.ForContext<MultiplicationProcessor>();
+
+    public MultiplicationProcessor()
+    {
+        Name = LocalizationHelper.GetString("MultiplicationProcessor_Name");
+        Description = LocalizationHelper.GetString("MultiplicationProcessor_Description");
+    }
+
+    protected override void InitializeParameters()
+    {
+        Parameters.Add("Multiplier", new ProcessorParameter(
+            "Multiplier",
+            LocalizationHelper.GetString("MultiplicationProcessor_Multiplier"),
+            typeof(double),
+            2.0,
+            0.1,
+            10.0,
+            LocalizationHelper.GetString("MultiplicationProcessor_Multiplier_Desc")));
+
+        Parameters.Add("Normalize", new ProcessorParameter(
+            "Normalize",
+            LocalizationHelper.GetString("MultiplicationProcessor_Normalize"),
+            typeof(bool),
+            true,
+            null,
+            null,
+            LocalizationHelper.GetString("MultiplicationProcessor_Normalize_Desc")));
+
+        _logger.Debug("InitializeParameters");
+    }
+
+    public override Image<Gray, byte> Process(Image<Gray, byte> inputImage)
+    {
+        double multiplier = GetParameter<double>("Multiplier");
+        bool normalize = GetParameter<bool>("Normalize");
+
+        var floatImage = inputImage.Convert<Gray, float>();
+        var result = floatImage * multiplier;
+
+        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));
+            }
+        }
+        else
+        {
+            // �归一化时，直接截断到0-255范围
+            result = result.ThresholdBinary(new Gray(255), new Gray(255));
+        }
+
+        floatImage.Dispose();
+        _logger.Debug("Process: Multiplier = {Multiplier}, Normalize = {Normalize}", multiplier, normalize);
+        return result.Convert<Gray, byte>();
+    }
+}