Files
XplorePlane/XP.ImageProcessing.Processors/数学运算/DivisionProcessor.cs
T
2026-04-13 14:36:18 +08:00

90 lines
3.0 KiB
C#

// ============================================================================
// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
// 文件å? DivisionProcessor.cs
// æè¿°: 除法è¿ç®—ç®—å­ï¼Œç”¨äºŽå›¾åƒå½’一化处ç?
// 功能:
// - 对图åƒåƒç´ å€¼è¿›è¡Œé™¤æ³•è¿ç®?
// - 支æŒç¼©æ”¾å› å­è°ƒæ•´
// - å¯é€‰å½’一化到0-255范围
// - 常用于背景校正和图åƒå½’一åŒ?
// 算法: åƒç´ çº§é™¤æ³•è¿ç®?
// 作è€? æŽä¼Ÿ wei.lw.li@hexagon.com
// ============================================================================
using Emgu.CV;
using Emgu.CV.Structure;
using Serilog;
using System.Drawing;
using XP.ImageProcessing.Core;
namespace XP.ImageProcessing.Processors;
/// <summary>
/// 除法è¿ç®—ç®—å­
/// </summary>
public class DivisionProcessor : ImageProcessorBase
{
private static readonly ILogger _logger = Log.ForContext<DivisionProcessor>();
public DivisionProcessor()
{
Name = LocalizationHelper.GetString("DivisionProcessor_Name");
Description = LocalizationHelper.GetString("DivisionProcessor_Description");
}
protected override void InitializeParameters()
{
Parameters.Add("Divisor", new ProcessorParameter(
"Divisor",
LocalizationHelper.GetString("DivisionProcessor_Divisor"),
typeof(double),
2.0,
0.01,
255.0,
LocalizationHelper.GetString("DivisionProcessor_Divisor_Desc")));
Parameters.Add("Scale", new ProcessorParameter(
"Scale",
LocalizationHelper.GetString("DivisionProcessor_Scale"),
typeof(double),
1.0,
0.1,
10.0,
LocalizationHelper.GetString("DivisionProcessor_Scale_Desc")));
Parameters.Add("Normalize", new ProcessorParameter(
"Normalize",
LocalizationHelper.GetString("DivisionProcessor_Normalize"),
typeof(bool),
true,
null,
null,
LocalizationHelper.GetString("DivisionProcessor_Normalize_Desc")));
_logger.Debug("InitializeParameters");
}
public override Image<Gray, byte> Process(Image<Gray, byte> inputImage)
{
double divisor = GetParameter<double>("Divisor");
double scale = GetParameter<double>("Scale");
bool normalize = GetParameter<bool>("Normalize");
var floatImage = inputImage.Convert<Gray, float>();
var result = floatImage / divisor * scale;
if (normalize)
{
double minVal = 0, maxVal = 0;
Point minLoc = new Point();
Point maxLoc = new Point();
CvInvoke.MinMaxLoc(result, ref minVal, ref maxVal, ref minLoc, ref maxLoc);
if (maxVal > minVal)
{
result = (result - minVal) * (255.0 / (maxVal - minVal));
}
}
_logger.Debug("Process:Divisor = {0}, Scale = {1}, Normalize = {2}", divisor, scale, normalize);
return result.Convert<Gray, byte>();
}
}