void TestImage()
{
WriteableBitmap b = LChartPhoto.getPhoto();
if (b == null)
{
SilverlightLFC.common.Environment.ShowMessage("没有要测试的照片"); return;
}
decimal d = 0m;
try
{
d = xt.getAberration(b);
}
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("广角端畸变测试错误");
}
}
try{
double leftCirclePoint = Convert.ToDouble(xt.ProcessInfor["AberrationLCP"]);
double rightCirclePoint = Convert.ToDouble(xt.ProcessInfor["AberrationRCP"]);
double lv = Convert.ToDouble(xt.ProcessInfor["AberrationLVP"]);
double rv = Convert.ToDouble(xt.ProcessInfor["AberrationRVP"]);
leftCirclePoint = leftCirclePoint / b.PixelWidth;
rightCirclePoint = rightCirclePoint / b.PixelWidth;
lv = lv / b.PixelWidth;
rv = rv / b.PixelWidth;
dg.DrawLine(leftCirclePoint * LChartPhoto.Width, 0, leftCirclePoint * LChartPhoto.Width, LChartPhoto.Height, false, 3, new SolidColorBrush(Colors.Green));
dg.DrawLine(rightCirclePoint * LChartPhoto.Width, 0, rightCirclePoint * LChartPhoto.Width, LChartPhoto.Height, false, 3, new SolidColorBrush(Colors.Green));
dg.DrawLine(lv * LChartPhoto.Width, 0, lv * LChartPhoto.Width, LChartPhoto.Height, false, 3, new SolidColorBrush(Colors.Red));
dg.DrawLine(rv * LChartPhoto.Width, 0, rv * LChartPhoto.Width, LChartPhoto.Height, false, 3, new SolidColorBrush(Colors.Red));
textBlockAberration.Text = d.ToString();
textBlockStandardLong.Text = (rightCirclePoint - leftCirclePoint).ToString();
textBlockTrueLong.Text = (rv - lv).ToString();
}
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("广角端畸变测试错误");
}
}
}
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;
}