李伟
90 lines
3.0 KiB
C#
90 lines
3.0 KiB
C#
// ============================================================================
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// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
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// 文件名: DivisionProcessor.cs
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// 描述: 除法运算算子，用于图像归一化处理
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// 功能:
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// - 对图像像素值进行除法运算
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// - 支持缩放因子调整
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// - 可选归一化到0-255范围
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// - 常用于背景校正和图像归一化
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// 算法: 像素级除法运算
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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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/// 除法运算算子
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/// </summary>
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public class DivisionProcessor : ImageProcessorBase
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{
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private static readonly ILogger _logger = Log.ForContext<DivisionProcessor>();
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public DivisionProcessor()
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{
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Name = LocalizationHelper.GetString("DivisionProcessor_Name");
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Description = LocalizationHelper.GetString("DivisionProcessor_Description");
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}
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protected override void InitializeParameters()
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{
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Parameters.Add("Divisor", new ProcessorParameter(
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"Divisor",
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LocalizationHelper.GetString("DivisionProcessor_Divisor"),
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typeof(double),
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2.0,
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0.01,
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255.0,
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LocalizationHelper.GetString("DivisionProcessor_Divisor_Desc")));
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Parameters.Add("Scale", new ProcessorParameter(
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"Scale",
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LocalizationHelper.GetString("DivisionProcessor_Scale"),
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typeof(double),
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1.0,
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0.1,
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10.0,
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LocalizationHelper.GetString("DivisionProcessor_Scale_Desc")));
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Parameters.Add("Normalize", new ProcessorParameter(
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"Normalize",
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LocalizationHelper.GetString("DivisionProcessor_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("DivisionProcessor_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 divisor = GetParameter<double>("Divisor");
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double scale = GetParameter<double>("Scale");
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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 / divisor * scale;
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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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_logger.Debug("Process:Divisor = {0}, Scale = {1}, Normalize = {2}", divisor, scale, normalize);
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return result.Convert<Gray, byte>();
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}
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} |