李伟
88 lines
2.9 KiB
C#
88 lines
2.9 KiB
C#
// ============================================================================
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// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
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// 文件名: MultiplicationProcessor.cs
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// 描述: 乘法运算算子，用于图像增强
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// 功能:
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// - 对图像像素值进行乘法运算
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// - 支持增益调整
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// - 可选归一化输出
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// - 常用于图像增强和对比度调整
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// 算法: 像素级乘法运算
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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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using System.Drawing;
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namespace XP.ImageProcessing.Processors;
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/// <summary>
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/// 乘法运算算子
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/// </summary>
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public class MultiplicationProcessor : ImageProcessorBase
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{
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private static readonly ILogger _logger = Log.ForContext<MultiplicationProcessor>();
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public MultiplicationProcessor()
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{
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Name = LocalizationHelper.GetString("MultiplicationProcessor_Name");
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Description = LocalizationHelper.GetString("MultiplicationProcessor_Description");
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}
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protected override void InitializeParameters()
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{
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Parameters.Add("Multiplier", new ProcessorParameter(
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"Multiplier",
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LocalizationHelper.GetString("MultiplicationProcessor_Multiplier"),
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typeof(double),
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2.0,
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0.1,
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10.0,
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LocalizationHelper.GetString("MultiplicationProcessor_Multiplier_Desc")));
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Parameters.Add("Normalize", new ProcessorParameter(
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"Normalize",
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LocalizationHelper.GetString("MultiplicationProcessor_Normalize"),
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typeof(bool),
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true,
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null,
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null,
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LocalizationHelper.GetString("MultiplicationProcessor_Normalize_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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double multiplier = GetParameter<double>("Multiplier");
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bool normalize = GetParameter<bool>("Normalize");
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var floatImage = inputImage.Convert<Gray, float>();
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var result = floatImage * multiplier;
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if (normalize)
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{
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double minVal = 0, maxVal = 0;
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Point minLoc = new Point();
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Point maxLoc = new Point();
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CvInvoke.MinMaxLoc(result, ref minVal, ref maxVal, ref minLoc, ref maxLoc);
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if (maxVal > minVal)
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{
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result = (result - minVal) * (255.0 / (maxVal - minVal));
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}
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}
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else
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{
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// 不归一化时，直接截断到0-255范围
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result = result.ThresholdBinary(new Gray(255), new Gray(255));
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}
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floatImage.Dispose();
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_logger.Debug("Process: Multiplier = {Multiplier}, Normalize = {Normalize}", multiplier, normalize);
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return result.Convert<Gray, byte>();
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}
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} |