合并图像处理库，删除图像lib库

2026-04-13 13:40:37 +08:00
parent 2a762396d5
commit c7ce4ea6a1
105 changed files with 16341 additions and 133 deletions
@@ -0,0 +1,128 @@
+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件名: DifferenceProcessor.cs
+// 描述: 差分运算算子，用于边缘检测和变化检测
+// 功能:
+//   - 对图像进行差分运算
+//   - 支持水平、垂直和对角线差分
+//   - 可用于边缘检测
+//   - 可选归一化输出
+// 算法: 像素级差分运算
+// 作者: 李伟 wei.lw.li@hexagon.com
+// ============================================================================
+
+using Emgu.CV;
+using Emgu.CV.Structure;
+using ImageProcessing.Core;
+using Serilog;
+using System.Drawing;
+
+namespace ImageProcessing.Processors;
+
+/// <summary>
+/// 差分运算算子
+/// </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
+        {
+            // 梯度幅值: 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>();
+    }
+}
@@ -0,0 +1,90 @@
+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件名: DivisionProcessor.cs
+// 描述: 除法运算算子，用于图像归一化处理
+// 功能:
+//   - 对图像像素值进行除法运算
+//   - 支持缩放因子调整
+//   - 可选归一化到0-255范围
+//   - 常用于背景校正和图像归一化
+// 算法: 像素级除法运算
+// 作者: 李伟 wei.lw.li@hexagon.com
+// ============================================================================
+
+using Emgu.CV;
+using Emgu.CV.Structure;
+using ImageProcessing.Core;
+using Serilog;
+using System.Drawing;
+
+namespace ImageProcessing.Processors;
+
+/// <summary>
+/// 除法运算算子
+/// </summary>
+public class DivisionProcessor : ImageProcessorBase
+{
+    private static readonly ILogger _logger = Log.ForContext<DivisionProcessor>();
+
+    public DivisionProcessor()
+    {
+        Name = LocalizationHelper.GetString("DivisionProcessor_Name");
+        Description = LocalizationHelper.GetString("DivisionProcessor_Description");
+    }
+
+    protected override void InitializeParameters()
+    {
+        Parameters.Add("Divisor", new ProcessorParameter(
+            "Divisor",
+            LocalizationHelper.GetString("DivisionProcessor_Divisor"),
+            typeof(double),
+            2.0,
+            0.01,
+            255.0,
+            LocalizationHelper.GetString("DivisionProcessor_Divisor_Desc")));
+
+        Parameters.Add("Scale", new ProcessorParameter(
+            "Scale",
+            LocalizationHelper.GetString("DivisionProcessor_Scale"),
+            typeof(double),
+            1.0,
+            0.1,
+            10.0,
+            LocalizationHelper.GetString("DivisionProcessor_Scale_Desc")));
+
+        Parameters.Add("Normalize", new ProcessorParameter(
+            "Normalize",
+            LocalizationHelper.GetString("DivisionProcessor_Normalize"),
+            typeof(bool),
+            true,
+            null,
+            null,
+            LocalizationHelper.GetString("DivisionProcessor_Normalize_Desc")));
+        _logger.Debug("InitializeParameters");
+    }
+
+    public override Image<Gray, byte> Process(Image<Gray, byte> inputImage)
+    {
+        double divisor = GetParameter<double>("Divisor");
+        double scale = GetParameter<double>("Scale");
+        bool normalize = GetParameter<bool>("Normalize");
+
+        var floatImage = inputImage.Convert<Gray, float>();
+        var result = floatImage / divisor * scale;
+
+        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));
+            }
+        }
+        _logger.Debug("Process:Divisor = {0}, Scale = {1}, Normalize = {2}", divisor, scale, normalize);
+        return result.Convert<Gray, byte>();
+    }
+}
@@ -0,0 +1,95 @@
+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件名: IntegralProcessor.cs
+// 描述: 积分运算算子，计算积分图像
+// 功能:
+//   - 计算积分图像（累加和）
+//   - 用于快速区域求和
+//   - 支持归一化输出
+// 算法: 积分图像算法
+// 作者: 李伟 wei.lw.li@hexagon.com
+// ============================================================================
+
+using Emgu.CV;
+using Emgu.CV.Structure;
+using ImageProcessing.Core;
+using Serilog;
+using System.Drawing;
+
+namespace ImageProcessing.Processors;
+
+/// <summary>
+/// 积分运算算子
+/// </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类型避免溢出
+        var integralImage = new Image<Gray, double>(width, height);
+
+        // 计算积分图像
+        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>();
+    }
+}
@@ -0,0 +1,88 @@
+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件名: MultiplicationProcessor.cs
+// 描述: 乘法运算算子，用于图像增强
+// 功能:
+//   - 对图像像素值进行乘法运算
+//   - 支持增益调整
+//   - 可选归一化输出
+//   - 常用于图像增强和对比度调整
+// 算法: 像素级乘法运算
+// 作者: 李伟 wei.lw.li@hexagon.com
+// ============================================================================
+
+using Emgu.CV;
+using Emgu.CV.Structure;
+using ImageProcessing.Core;
+using Serilog;
+using System.Drawing;
+
+namespace ImageProcessing.Processors;
+
+/// <summary>
+/// 乘法运算算子
+/// </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
+        {
+            // 不归一化时，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>();
+    }
+}
@@ -0,0 +1,65 @@
+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件名: OrProcessor.cs
+// 描述: 或运算算子，用于图像逻辑运算
+// 功能:
+//   - 对图像进行按位或运算
+//   - 支持与固定值或运算
+//   - 可用于图像合并和掩码操作
+// 算法: 像素级按位或运算
+// 作者: 李伟 wei.lw.li@hexagon.com
+// ============================================================================
+
+using Emgu.CV;
+using Emgu.CV.Structure;
+using ImageProcessing.Core;
+using Serilog;
+
+namespace ImageProcessing.Processors;
+
+/// <summary>
+/// 或运算算子
+/// </summary>
+public class OrProcessor : ImageProcessorBase
+{
+    private static readonly ILogger _logger = Log.ForContext<OrProcessor>();
+
+    public OrProcessor()
+    {
+        Name = LocalizationHelper.GetString("OrProcessor_Name");
+        Description = LocalizationHelper.GetString("OrProcessor_Description");
+    }
+
+    protected override void InitializeParameters()
+    {
+        Parameters.Add("Value", new ProcessorParameter(
+            "Value",
+            LocalizationHelper.GetString("OrProcessor_Value"),
+            typeof(int),
+            0,
+            0,
+            255,
+            LocalizationHelper.GetString("OrProcessor_Value_Desc")));
+
+        _logger.Debug("InitializeParameters");
+    }
+
+    public override Image<Gray, byte> Process(Image<Gray, byte> inputImage)
+    {
+        int value = GetParameter<int>("Value");
+
+        var result = inputImage.Clone();
+
+        // 对每个像素进行按位或运算
+        for (int y = 0; y < inputImage.Height; y++)
+        {
+            for (int x = 0; x < inputImage.Width; x++)
+            {
+                result.Data[y, x, 0] = (byte)(inputImage.Data[y, x, 0] | value);
+            }
+        }
+
+        _logger.Debug("Process: Value = {Value}", value);
+        return result;
+    }
+}