public void Test(List <WriteableBitmap> b)
{
if (b.Count == 0 || b == null)
{
return;
}
bl = b;
try
{
HB.Photo = (b[1]);
VB.Photo = (b[2]);
xt = new XMarkChart();
decimal d = xt.getBrightChanges(b[0]);//原始
textBoxBrightChanges.Text = d.ToString();
textBoxBB.Text = xt.ProcessInfor["BrightChanges_BorderBright"].ToString();
textBoxCB.Text = xt.ProcessInfor["BrightChanges_CBright"].ToString();
LT.Text = xt.ProcessInfor["BrightChanges_LT"].ToString();
LB.Text = xt.ProcessInfor["BrightChanges_LB"].ToString();
RT.Text = xt.ProcessInfor["BrightChanges_RT"].ToString();
RB.Text = xt.ProcessInfor["BrightChanges_RB"].ToString();
List <int> hl, vl;
DCTestLibrary.PhotoTest pt = new DCTestLibrary.PhotoTest();
hl = pt.getImageGrayHLine(b[1], b[1].PixelHeight / 2);
vl = pt.getImageGrayVLine(b[2], b[2].PixelWidth / 2);
dg.ForeColor = Colors.Blue;
dg.DrawBrightLines(hl);
dg.ForeColor = Colors.Red;
dg.DrawBrightLines(vl);
}
catch (Exception xe) //未知的异常
{
if (xe is LFCException) //已经是系统约定的错误类型，直接往上抛
{
SilverlightLFC.common.Environment.ShowMessage(xe.Message);
}
else
{
SilverlightLFC.common.Environment.ShowMessage("测试错误,请检查照片");
}
}
}
public void XMarkTest()//测试XMark卡的各种参数
{
processbar.Value = 0;
ResultPanel.Children.Clear();
sw.Stop();
sw.Start();
Button li;
XMarkChart xm = new XMarkChart(SourcePhoto);
xm.CorrectChart();
xm.BeginAnalyse();
processbar.Value = 10;
decimal r;
r = xm.getAberration() * 100;
li = new Button();
li.Click += new RoutedEventHandler(XMarkMTF_Click);
li.Name = "WAberration";
li.Content = "广角端畸变：" + r.ToString() + " %";
li.SetValue(ToolTipService.ToolTipProperty, "数据表示照片里面几何变形程度，正表示桶形畸变，负表示枕型畸变，0为无畸变");
ResultPanel.Children.Add(li);
processbar.Value = 20;
r = Convert.ToDecimal(xm.getLatitude());
li = new Button();
li.Name = "DynamicLatitude";
li.Content = "动态范围：" + r.ToString() + " 级";
li.Click += new RoutedEventHandler(XMarkLatitude_Click);
li.SetValue(ToolTipService.ToolTipProperty, "数据表示在一张照片里面可以分辨的灰度等级的数量");
ResultPanel.Children.Add(li);
processbar.Value = 30;
r = xm.getColorDis();
li = new Button();
li.Name = "ColorTrendValue";
li.Content = "色彩趋向差异：" + r.ToString() + " 度";
li.Click += new RoutedEventHandler(XMarkColorDis_Click);
li.SetValue(ToolTipService.ToolTipProperty, "数据表示在拍摄标准颜色时候色调的偏差，完全准确时为0");
ResultPanel.Children.Add(li);
processbar.Value = 40;
r = xm.getNoiseNum() * 100;
li = new Button();
li.Name = "Noise";
li.Content = "噪点：" + r.ToString() + " %";
li.SetValue(ToolTipService.ToolTipProperty, "数据表示在一张照片里面可以分辨的噪点数量");
ResultPanel.Children.Add(li);
processbar.Value = 50;
r = xm.getWhiteBanlance() * 100;
li = new Button();
li.Name = "AutoWhiteBalanceDistance";
li.Content = "白平衡能力：" + r.ToString() + " %";
li.Click += new RoutedEventHandler(XMarkWhiteBalance_Click);
li.SetValue(ToolTipService.ToolTipProperty, "数据表示拍摄灰度的时刻偏离灰度的程度，完全准确时为0");
ResultPanel.Children.Add(li);
processbar.Value = 60;
r = Convert.ToDecimal(xm.getVEdgeDispersiveness());
li = new Button();
li.Name = "Dispersiveness";
li.Content = "色散：" + r.ToString() + " Pxl";
li.SetValue(ToolTipService.ToolTipProperty, "数据表示红绿蓝三原色在边界分离的程度，也就是平均分离到几个像素，无色散时为0");
li.Click += new RoutedEventHandler(XMarkDispersiveness_Click);
ResultPanel.Children.Add(li);
processbar.Value = 70;
r = xm.getBrightChanges() * 100;
li = new Button();
li.Name = "TLightingEquality";
li.Content = "亮度一致性：" + r.ToString() + " %";
li.Click += new RoutedEventHandler(XMarkBrightChanges_Click);
li.SetValue(ToolTipService.ToolTipProperty, "数据表示在照片里面中心亮度和四周亮度的差异，无差异时为0");
ResultPanel.Children.Add(li);
processbar.Value = 80;
r = xm.getHEdgeResoveLines();
li = new Button();
li.Name = "ResolvingPower";
li.Content = "分辨率：" + r.ToString() + " lw/ph";
li.Click += new RoutedEventHandler(XMarkMTF_Click);
li.SetValue(ToolTipService.ToolTipProperty, "数据表示在一张照片里面可以分辨的水平线条的数量");
ResultPanel.Children.Add(li);
processbar.Value = 90;
r = xm.getWaveQ() * 100;
li = new Button();
li.Name = "WaveQ";
li.Content = "成像一致性：" + r.ToString() + " %";
li.Click += new RoutedEventHandler(XMarkWaveQ_Click);
li.SetValue(ToolTipService.ToolTipProperty, "数据表示照片里面还原正弦灰度区域的能力，完全还原时为0，差异越大数据越大");
ResultPanel.Children.Add(li);
processbar.Value = 100;
sw.Stop();
li.SetValue(ToolTipService.ToolTipProperty, "测试共花费" + sw.Interval.Milliseconds.ToString() + "ms");
Logo.Source = xm.AnalysePhoto;
}