public void DrawColorDisCurve(int cNo, WriteableBitmap b, string ChartType)//绘制单个色差
{
this.ChartType = ChartType;
List <List <Color> > al = new List <List <Color> >();
if (ChartType == "XMark")
{
XMarkChart xm = new XMarkChart(b);
al = xm.getCurveColorDis();
cNo = cNo - 7;
}
if (ChartType == "XRite")
{
XRiteColorChart x = new XRiteColorChart(b);
al = x.getCurveColorDis();
cNo = cNo - 1;
}
DrawGraphic dg = new DrawGraphic(DrawCanvas);
dg.DrawColorCy(0.9f);
List <Color> tal = al[cNo];
Color c0 = (Color)tal[0];
Color c1 = (Color)tal[1];
//picS.BackColor = c0;
//picV.BackColor = c1;
dg.DrawColorMoveHue(c0, c1, 0.9f);
}
public void DrawWhiteBalanceCurve(WriteableBitmap b, string ChartType)//绘制白平衡的分析图
{
this.ChartType = ChartType;
List <Color> al = new List <Color>();
if (ChartType == "XMark")
{
XMarkChart xm = new XMarkChart(b);
al = xm.getCurveWhiteBalance();
}
if (ChartType == "XRite")
{
XRiteColorChart x = new XRiteColorChart(b);
al = x.getCurveWhiteBalance();
}
DrawGraphic dg = new DrawGraphic(DrawCanvas);
//dg.InitCanvas(picCanvas.Width, picCanvas.Height);//需要先设置画布
dg.DrawColorCy(0.9f);
for (int i = 0; i < al.Count; i++)
{
Color c = (Color)al[i];
dg.DrawColorPoint(c, 0.9f, 3);
}
}
public void DrawColorDisCurve(WriteableBitmap b, string ChartType)//绘制描述色差的图形
{
this.ChartType = ChartType;
List <List <Color> > al = new List <List <Color> >();
if (ChartType == "XMark")
{
XMarkChart xm = new XMarkChart(b);
al = xm.getCurveColorDis();
}
if (ChartType == "XRite")
{
XRiteColorChart x = new XRiteColorChart(b);
al = x.getCurveColorDis();
}
DrawGraphic dg = new DrawGraphic(DrawCanvas);
dg.DrawColorCy(0.9f);
for (int i = 7; i < 19; i++)
{
List <Color> tal = al[i - 7];
Color c0 = (Color)tal[0];
Color c1 = (Color)tal[1];
//picS.BackColor = c0;
//picV.BackColor = c1;
dg.DrawColorMoveHue(c0, c1, 0.9f);
}
}
public void DrawMTFCurve(WriteableBitmap b, string ChartType)//绘制MTF的分析图
{
this.ChartType = ChartType;
List <double> al = new List <double>();
if (ChartType == "XMark")
{
XMarkChart xm = new XMarkChart(b);
al = xm.getCurveMTF();
}
if (ChartType == "ISO12233")
{
ISO12233ExChart x = new ISO12233ExChart(b);
al = x.getCurveMTF();
}
DrawGraphic dg = new DrawGraphic(DrawCanvas);
//dg.InitCanvas(picCanvas.Width, picCanvas.Height);//需要先设置画布
dg.DrawX();
dg.DrawY();
List <double> dlist = new List <double>();
dlist.Add(0.0);
dlist.Add(0.5);
dlist.Add(1.0);
dg.DrawYMark(dlist);
dg.DrawXMark(dlist);
dg.DrawTitle("MTF 曲线图");
dg.DrawLines(al);
//dg.DrawCurve(al);
//picCanvas.Image = dg.Canvas;
}
public void DrawDispersivenessCurve(WriteableBitmap b, string ChartType)//绘制色散分析图
{
this.ChartType = ChartType;
List <List <int> > al = new List <List <int> >();
WriteableBitmap subB;
if (ChartType == "XMark")
{
XMarkChart x = new XMarkChart(b);
subB = x.getAreaHEdge();
PhotoTestParameter xm = new PhotoTestParameter();
al = xm.getCurveVDispersiveness(subB);
}
if (ChartType == "ISO12233")
{
ISO12233ExChart x = new ISO12233ExChart(b);
subB = x.getAreaHEdge();
PhotoTestParameter xm = new PhotoTestParameter();
al = xm.getCurveHDispersiveness(b);
}
DrawGraphic dg = new DrawGraphic(DrawCanvas);
dg.DrawX();
List <double> MarkList = new List <double>();
for (int i = 0; i < 101; i = i + 20)
{
MarkList.Add(i);
}
dg.DrawXMark(MarkList);
MarkList.Clear();
for (int i = 0; i < 255; i = i + 40)
{
MarkList.Add(i);
}
dg.DrawY();
dg.DrawYMark(MarkList);
List <double> ral, gal, bal;
ral = SilverlightLFC.common.Environment.getDoubleList <int>(al[0]);
gal = SilverlightLFC.common.Environment.getDoubleList <int>(al[1]);
bal = SilverlightLFC.common.Environment.getDoubleList <int>(al[2]);
dg.ForeColor = Colors.Blue;
dg.DrawLines(bal);
dg.ForeColor = Colors.Red;
dg.DrawLines(ral);
dg.ForeColor = Colors.Green;
dg.DrawLines(gal);
dg.DrawTitle("色散");
}
public void DrawBrightChangesCurve(WriteableBitmap b, string ChartType)//绘制亮度变化的分析图
{
this.ChartType = ChartType;
if (ChartType == "XMark")
{
List <List <int> > al = new List <List <int> >();
try
{
XMarkChart xm = new XMarkChart(b);
al = xm.getCurveBrightnessChange();
}
catch (Exception ex)
{
if (ex is SilverlightLFC.common.LFCException)
{
SilverlightLFC.common.Environment.ShowMessage(ex.Message);
}
else
{
SilverlightLFC.common.Environment.ShowMessage("Error Process Image");
}
}
DrawGraphic dg = new DrawGraphic(DrawCanvas);
//dg.InitCanvas(picCanvas.Width, picCanvas.Height);
dg.DrawX();
List <double> MarkList = new List <double>();
for (int i = 0; i < 101; i = i + 20)
{
MarkList.Add(i);
}
dg.DrawXMark(MarkList);
MarkList.Clear();
for (int i = 0; i < 255; i = i + 40)
{
MarkList.Add(i);
}
dg.DrawY();
dg.DrawYMark(MarkList);
List <int> val, hal;
val = al[1];
hal = al[0];
dg.ForeColor = Colors.Blue;
dg.DrawLines(SilverlightLFC.common.Environment.getDoubleList <int>(hal));
dg.ForeColor = Colors.Red;
dg.DrawLines(SilverlightLFC.common.Environment.getDoubleList <int>(val));
dg.DrawTitle("亮度一致性变化");
//picCanvas.Image = dg.Canvas;
}
}
public void DrawRainbowCurve(WriteableBitmap b, string ChartType)//绘制连续色阶准确性的分析图
{
this.ChartType = ChartType;
List <Color> al = new List <Color>();
if (ChartType == "XMark")
{
XMarkChart xm = new XMarkChart(b);
al = xm.getCurveRainbow();
}
DrawGraphic dg = new DrawGraphic(DrawCanvas);
dg.DrawColorCy(0.9f);
dg.DrawColorList(al, 0.9f);
}
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 DrawWaveQCurve(int no, WriteableBitmap b, string ChartType)//绘制成像一致性的分析图
{
this.ChartType = ChartType;
List <List <decimal> > al = new List <List <decimal> >();
if (ChartType == "XMark")
{
XMarkChart xm = new XMarkChart(b);
al = xm.getCurveWaveQ();
}
DrawGraphic dg = new DrawGraphic(DrawCanvas);
dg.DrawX();
List <double> MarkList = new List <double>();
int step = (al[(no - 1) * 2]).Count / 5;
for (int i = 0; i < (al[(no - 1) * 2]).Count; i = i + step)
{
MarkList.Add(i);
}
dg.DrawXMark(MarkList);
MarkList.Clear();
for (int i = 0; i < 255; i = i + 40)
{
MarkList.Add(i);
}
dg.DrawY();
dg.DrawYMark(MarkList);
List <decimal> Sal, Val;
Sal = al[(no - 1) * 2];
Val = al[(no - 1) * 2 + 1];
dg.ForeColor = Colors.Blue;
dg.DrawLines(SilverlightLFC.common.Environment.getDoubleList <decimal>(Sal));
dg.ForeColor = Colors.Red;
dg.DrawLines(SilverlightLFC.common.Environment.getDoubleList <decimal>(Val));
dg.DrawTitle("成像品质");
}
public void DrawLatitudeCurve(WriteableBitmap b, string ChartType)//绘制动态范围的分析图
{
this.ChartType = ChartType;
List <decimal> al = new List <decimal>();
if (ChartType == "XMark")
{
XMarkChart xm = new XMarkChart(b);
al = xm.getCurveLatitude();
}
if (ChartType == "XRite")
{
XRiteColorChart xr = new XRiteColorChart(b);
al = xr.getCurveLatitude();
}
DrawGraphic dg = new DrawGraphic(DrawCanvas);
dg.DrawX();
List <double> MarkList = new List <double>();
for (int i = 0; i < 101; i = i + 20)
{
MarkList.Add(i);
}
dg.DrawXMark(MarkList);
MarkList.Clear();
for (int i = 0; i < 255; i = i + 40)
{
MarkList.Add(i);
}
dg.DrawY();
dg.DrawYMark(MarkList);
dg.ForeColor = Colors.Red;
dg.DrawStepPoint(SilverlightLFC.common.Environment.getDoubleList <decimal>(al));
dg.DrawTitle("宽容度");
//picCanvas.Image = dg.Canvas;
}
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;
}
public XMarkChartTestViewModel()
{
TestChart = new XMarkChart();
Test = TestXMark;
}
