// ============================================================================
// Copyright © 2026 Hexagon Technology Center GmbH. All Rights Reserved.
// 文件�? GaussianBlurProcessor.cs
// 描述: 高斯模糊算子，用于图像平滑和降噪
// 功能:
//   - 高斯核卷积平�?
//   - 可调节核大小和标准差
//   - 有效去除高斯噪声
//   - 保持边缘相对清晰
// 算法: 高斯滤波器卷�?
// 作�? 李伟 wei.lw.li@hexagon.com
// ============================================================================

using Emgu.CV;
using Emgu.CV.Structure;
using Serilog;
using XP.ImageProcessing.Core;

namespace XP.ImageProcessing.Processors;

/// <summary>
/// 高斯模糊算子
/// </summary>
public class GaussianBlurProcessor : ImageProcessorBase
{
    private static readonly ILogger _logger = Log.ForContext<GammaProcessor>();

    public GaussianBlurProcessor()
    {
        Name = LocalizationHelper.GetString("GaussianBlurProcessor_Name");
        Description = LocalizationHelper.GetString("GaussianBlurProcessor_Description");
    }

    protected override void InitializeParameters()
    {
        Parameters.Add("KernelSize", new ProcessorParameter(
            "KernelSize",
            LocalizationHelper.GetString("GaussianBlurProcessor_KernelSize"),
            typeof(int),
            5,
            1,
            31,
            LocalizationHelper.GetString("GaussianBlurProcessor_KernelSize_Desc")));

        Parameters.Add("Sigma", new ProcessorParameter(
            "Sigma",
            LocalizationHelper.GetString("GaussianBlurProcessor_Sigma"),
            typeof(double),
            1.5,
            0.1,
            10.0,
            LocalizationHelper.GetString("GaussianBlurProcessor_Sigma_Desc")));
        _logger.Debug("InitializeParameters");
    }

    public override Image<Gray, byte> Process(Image<Gray, byte> inputImage)
    {
        int kernelSize = GetParameter<int>("KernelSize");
        double sigma = GetParameter<double>("Sigma");

        if (kernelSize % 2 == 0) kernelSize++;

        var result = inputImage.Clone();
        CvInvoke.GaussianBlur(inputImage, result,
            new System.Drawing.Size(kernelSize, kernelSize), sigma);
        _logger.Debug("Process: KernelSize = {KernelSize}, Sigma = {Sigma}", kernelSize, sigma);
        return result;
    }
}