public List<Edge1D_Result> Get1DEdge(Mat inputMat, Point2d pdCenter, double dMeasureLength, double dMeasureHeight, double dMeasureAngle, double sigma, int threshold, Translation traslation, Selection selection) { if (inputMat.Empty()) { return new List<Edge1D_Result>(); } if (inputMat.Channels() > 1) { Cv2.CvtColor(inputMat, inputMat, ColorConversionCodes.BGR2GRAY); } m_vEdgesResult.Clear(); inputMat.CopyTo(m_mInputMat); m_pdCenter = pdCenter; m_dLength = dMeasureLength; m_dHeight = dMeasureHeight; m_dAngle = dMeasureAngle; m_dSigma = sigma; m_nThreshold = (int)(threshold * (m_dSigma * Math.Sqrt(2 * Math.PI))); GetEndPointsOfLine(pdCenter, dMeasureAngle, dMeasureLength, m_pdStart, m_pdEnd); m_dK = GetLineSlope(m_pdStart, m_pdEnd); m_dB = m_pdStart.Y - m_dK * m_pdStart.X; GetProfieMat(); FilterMat(); GetGradientMat(); GetEdgePoint(threshold, traslation, selection); return m_vEdgesResult; }请增加中文注解

以下是增加了中文注解的代码：

public List<Edge1D_Result> Get1DEdge(Mat inputMat, Point2d pdCenter, double dMeasureLength, double dMeasureHeight, double dMeasureAngle, double sigma, int threshold, Translation traslation, Selection selection)
{
    // 判断输入图像是否为空
    if (inputMat.Empty())
    {
        return new List<Edge1D_Result>();
    }
    // 判断输入图像是否为灰度图像，若不是，则转换为灰度图像
    if (inputMat.Channels() > 1)
    {
        Cv2.CvtColor(inputMat, inputMat, ColorConversionCodes.BGR2GRAY);
    }
    // 清空结果向量
    m_vEdgesResult.Clear();
    // 复制输入图像到成员变量中
    inputMat.CopyTo(m_mInputMat);
    // 设置中心点、测量长度、测量高度、测量角度、高斯滤波参数、边缘阈值等
    m_pdCenter = pdCenter;
    m_dLength = dMeasureLength;
    m_dHeight = dMeasureHeight;
    m_dAngle = dMeasureAngle;
    m_dSigma = sigma;
    m_nThreshold = (int)(threshold * (m_dSigma * Math.Sqrt(2 * Math.PI)));
    // 获取测量线的起点和终点
    GetEndPointsOfLine(pdCenter, dMeasureAngle, dMeasureLength, m_pdStart, m_pdEnd);
    // 计算测量线的斜率和截距
    m_dK = GetLineSlope(m_pdStart, m_pdEnd);
    m_dB = m_pdStart.Y - m_dK * m_pdStart.X;
    // 获取测量线上的像素灰度值
    GetProfieMat();
    // 对像素灰度值进行高斯滤波处理
    FilterMat();
    // 计算像素灰度值的梯度
    GetGradientMat();
    // 获取边缘点
    GetEdgePoint(threshold, traslation, selection);
    // 返回结果向量
    return m_vEdgesResult;
}

请注意，这只是一个参考实现，可能需要根据实际情况进行修改。同时，这段代码中的一些变量和函数定义可能需要根据原代码进行调整。