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 +1,106 @@
+// ============================================================================
+// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
+// 文件名: ThresholdProcessor.cs
+// 描述: 阈值分割算子，用于图像二值化处理
+// 功能:
+//   - 固定阈值二值化
+//   - Otsu自动阈值计算
+//   - 可调节阈值和最大值
+//   - 将灰度图像转换为二值图像
+// 算法: 阈值分割、Otsu算法
+// 作者: 李伟 wei.lw.li@hexagon.com
+// ============================================================================
+
+using Emgu.CV;
+using Emgu.CV.CvEnum;
+using Emgu.CV.Structure;
+using ImageProcessing.Core;
+using Serilog;
+
+namespace ImageProcessing.Processors;
+
+/// <summary>
+/// 阈值分割算子
+/// </summary>
+public class ThresholdProcessor : ImageProcessorBase
+{
+    private static readonly ILogger _logger = Log.ForContext<ThresholdProcessor>();
+
+    public ThresholdProcessor()
+    {
+        Name = LocalizationHelper.GetString("ThresholdProcessor_Name");
+        Description = LocalizationHelper.GetString("ThresholdProcessor_Description");
+    }
+
+    protected override void InitializeParameters()
+    {
+        Parameters.Add("MinThreshold", new ProcessorParameter(
+            "MinThreshold",
+            LocalizationHelper.GetString("ThresholdProcessor_MinThreshold"),
+            typeof(int),
+            64,
+            0,
+            255,
+            LocalizationHelper.GetString("ThresholdProcessor_MinThreshold_Desc")));
+
+        Parameters.Add("MaxThreshold", new ProcessorParameter(
+            "MaxThreshold",
+            LocalizationHelper.GetString("ThresholdProcessor_MaxThreshold"),
+            typeof(int),
+            192,
+            0,
+            255,
+            LocalizationHelper.GetString("ThresholdProcessor_MaxThreshold_Desc")));
+
+        Parameters.Add("UseOtsu", new ProcessorParameter(
+            "UseOtsu",
+            LocalizationHelper.GetString("ThresholdProcessor_UseOtsu"),
+            typeof(bool),
+            false,
+            null,
+            null,
+            LocalizationHelper.GetString("ThresholdProcessor_UseOtsu_Desc")));
+        _logger.Debug("InitializeParameters");
+    }
+
+    public override Image<Gray, byte> Process(Image<Gray, byte> inputImage)
+    {
+        int minThreshold = GetParameter<int>("MinThreshold");
+        int maxThreshold = GetParameter<int>("MaxThreshold");
+        bool useOtsu = GetParameter<bool>("UseOtsu");
+
+        var result = new Image<Gray, byte>(inputImage.Size);
+
+        if (useOtsu)
+        {
+            // 使用Otsu算法
+            CvInvoke.Threshold(inputImage, result, minThreshold, 255, ThresholdType.Otsu);
+            _logger.Debug("Process: UseOtsu = true");
+        }
+        else
+        {
+            // 双阈值分割：介于MinThreshold和MaxThreshold之间的为前景(255)，其他为背景(0)
+            byte[,,] inputData = inputImage.Data;
+            byte[,,] outputData = result.Data;
+
+            int height = inputImage.Height;
+            int width = inputImage.Width;
+
+            for (int y = 0; y < height; y++)
+            {
+                for (int x = 0; x < width; x++)
+                {
+                    byte pixelValue = inputData[y, x, 0];
+                    outputData[y, x, 0] = (pixelValue >= minThreshold && pixelValue <= maxThreshold)
+                        ? (byte)255
+                        : (byte)0;
+                }
+            }
+
+            _logger.Debug("Process: MinThreshold = {MinThreshold}, MaxThreshold = {MaxThreshold}",
+                minThreshold, maxThreshold);
+        }
+
+        return result;
+    }
+}