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