wei.lw.li
d5d964d115
滤波类：GaussianBlur(Sigma)、Bilateral(SigmaSpace)、 BandPass(FilterType,Order)、ShockFilter(Dt) 边缘检测：Sobel(Direction,KernelSize,Scale)、 HorizontalEdge(Method,Sensitivity)、Kirsch(Scale)
72 lines
2.5 KiB
C#
72 lines
2.5 KiB
C#
// ============================================================================
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// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
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// 文件名: GaussianBlurProcessor.cs
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// 描述: 高斯模糊算子，用于图像平滑和降噪
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// 功能:
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// - 高斯核卷积平滑
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// - 可调节核大小和标准差
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// - 有效去除高斯噪声
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// - 保持边缘相对清晰
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// 算法: 高斯滤波器卷积
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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.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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/// 高斯模糊算子（支持 8 位和 16 位灰度图像）
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/// </summary>
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public class GaussianBlurProcessor<TDepth> : ImageProcessorBase<TDepth>
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where TDepth : struct, IComparable
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{
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private static readonly ILogger _logger = Log.ForContext<GaussianBlurProcessor<TDepth>>();
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public GaussianBlurProcessor()
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{
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Name = LocalizationHelper.GetString("GaussianBlurProcessor_Name");
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Description = LocalizationHelper.GetString("GaussianBlurProcessor_Description");
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}
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protected override void InitializeParameters()
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{
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Parameters.Add("KernelSize", new ProcessorParameter(
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"KernelSize",
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LocalizationHelper.GetString("GaussianBlurProcessor_KernelSize"),
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typeof(int),
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5,
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1,
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31,
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LocalizationHelper.GetString("GaussianBlurProcessor_KernelSize_Desc")));
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Parameters.Add("Sigma", new ProcessorParameter(
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"Sigma",
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LocalizationHelper.GetString("GaussianBlurProcessor_Sigma"),
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typeof(double),
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1.5,
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0.1,
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10.0,
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LocalizationHelper.GetString("GaussianBlurProcessor_Sigma_Desc")) { IsAdvanced = true });
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_logger.Debug("InitializeParameters");
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}
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public override Image<Gray, TDepth> Process(Image<Gray, TDepth> inputImage)
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{
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int kernelSize = GetParameter<int>("KernelSize");
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double sigma = GetParameter<double>("Sigma");
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if (kernelSize % 2 == 0) kernelSize++;
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var result = inputImage.Clone();
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CvInvoke.GaussianBlur(inputImage, result,
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new System.Drawing.Size(kernelSize, kernelSize), sigma);
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_logger.Debug("Process: KernelSize = {KernelSize}, Sigma = {Sigma}", kernelSize, sigma);
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return result;
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}
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}
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