//public List<IParameter> ParameterList = new List<IParameter>();
//public void WriteToHTML()
//{
// string s = "";
// s = "<!DOCTYPE html PUBLIC \"-//W3C//DTD XHTML 1.0 Transitional//EN/\" \"http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd\"><html xmlns=\"http://www.w3.org/1999/xhtml\">";
// s = s + "<head><meta http-equiv=\"Content-Language\" content=\"zh-cn\" /><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />";
// s = s + "<title>shiyan</title><style type=\"text/css\">.style1 {text-align: left;}.style2 {margin-left: 40px;}.style3 { text-decoration: underline; margin-left: 40px;}</style></head>";
// s = s + "<body>";
// s = s + "<h2>测试结果信息：</h2>";
// foreach (LParameter lp in ParameterList)
// {
// s = s + "指标名称：" + lp.Name;
// s = s + "<p class=\"style2\">说明：" + lp.Memo + "</p>";
// s = s + "<p>测试时间：" + lp.TestTime.ToString() + "</p>";
// if (lp.Value != Double.NaN)
// {
// s = s + "<p>测试值：" + lp.Value.ToString() + lp.Dimension + "</p>";
// }
// }
// s = s + "</body></html>";
// SilverlightLFC.common.Environment.getEnvironment().SaveFileString(s, "HTML文件|*.html");
// //SaveFileDialog of = new SaveFileDialog();
// //of.Filter = "HTML文件|*.html";
// //of.ShowDialog();
// //byte[] sb = System.Text.Encoding.Unicode.GetBytes(s);
// //Stream fs = of.OpenFile();
// //if (fs != null)
// //{
// // fs.Write(sb, 0, sb.Length);
// //}
//}
//System.Windows.Threading.DispatcherTimer time = new System.Windows.Threading.DispatcherTimer();
//int pi = 0;
//void autoTest()
//{
// if (!TestChartNull()) { return; }
// //try{
// BeginTime = DateTime.Now;
// Begin();
// EndTime = DateTime.Now;
// //}
// //catch (Exception e)
// //{
// // SilverlightLFC.common.Environment.ShowMessage(e.Message);
// //}
//}
//bool IsTesting = false;
//public void Begin()
//{
// if (IsTesting) { return; }
// IsTesting = true;
// time.Interval = TimeSpan.FromSeconds(2);
// time.Tick += new EventHandler(time_Tick);
// ParameterList.Clear();
// PreProcess();
// pi = 0;
// time.Start();
//}
//public void PreProcess()
//{
// try
// {
// t.setChart(ChartPhoto.getPhoto());
// //t.PhotoTestProc += new PhotoTestProcessHandler(t_PhotoTestProc);
// t.CorrectISO12233Chart();
// t.BeginAnalyse();
// processbar.Value = 5;
// }
// 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("测试卡矫正错误，请检查照片");
// //throw new SilverlightLFC.common.LFCException("测试卡矫正错误", null);
// }
// }
//}
//public void TestFinish()
//{
// //ResultPanel.Height = 25 * 11;
// //IsTested = true;
// //TestProject.TestHtml.Add(WriteHTML());
// time.Tick -= new EventHandler(time_Tick);
// processbar.Value = 100;
// EndTime = DateTime.Now;
// IsTesting = false;
// pi = 0;
// ToolTipService.SetToolTip(processbar, "本次测试耗时(ms)：" + (EndTime - BeginTime).TotalMilliseconds.ToString());
// //time.Start();
//}
//void time_Tick(object sender, EventArgs e)
//{
// time.Stop();
// pi++;
// if (pi == 1) { TestRayleiResolution(); }
// if (pi == 2) { TestHMTF(); }
// if (pi == 3) { TestVMTF(); }
// if (pi == 4) { TestHDispersiveness(); }
// if (pi == 5) { TestVDispersiveness(); }
// if (pi == 6) { TestFinish(); return; }
// time.Start();
//}
void TestRayleiResolution()
{
try
{
BeginTime = DateTime.Now;
long r = (testHelper.CurrentChart as ISO12233ExChart).getLPResoveLines();
buttonRayleiResolution.Content = "分辨率（中央）：" + r.ToString() + " LW/PH";
buttonRayleiResolution.SetValue(ToolTipService.ToolTipProperty, "利用瑞利判据，直观判断相机分辨率，数据表示在一张照片里面可以分辨的垂直线条的数量");
EndTime = DateTime.Now;
LParameter lp = testHelper.getNewParameter("ISO2233Ex测试卡", r, BeginTime, EndTime);
lp.Name = "中央瑞利分辨率";
lp.Memo = "利用瑞利判据，直观判断相机分辨率，数据表示在一张照片里面可以分辨的垂直线条的数量";
lp.Dimension = "LW/PH";
//lp.TestChart = testHelper.CurrentChart.ChartPhoto;
//lp.TestWay = "ISO2233Ex测试卡";
//lp.TestTime = EndTime;
//lp.SpendTime = (EndTime - BeginTime).TotalMilliseconds;
//lp.Value = r;
testHelper.ParameterList.Add(lp);
//processbar.Value = 20;
//time.Start();
}
catch (Exception xe)//未知的异常
{
testHelper.ProcessError(xe, "瑞丽判据测试错误");
}
}
public void TestGray()
{
if (!testHelper.TestChartNull())
{
return;
}
try{
//progressbar.Value = 0;
BeginTime = DateTime.Now;
//t.setChart(ChartPhoto.getPhoto());
double d = (testHelper.CurrentChart as GrayChart).getBrightChangesValue();
//TextValue.Text = d.ToString();
EndTime = DateTime.Now;
LParameter lp = testHelper.getNewParameter("灰度测试卡", d, BeginTime, EndTime);
lp.Name = "亮度变化";
lp.Memo = "查看照片亮度变化";
lp.Dimension = "";
//lp.TestChart = testHelper.CurrentChart.ChartPhoto;
testHelper.ParameterList.Add(lp);
testHelper.ShowTestResult(TextValue, "亮度变化", null);
TestGB();
//progressbar.Value = 100;
}
catch (Exception xe)//未知的异常
{
testHelper.ProcessError(xe, "灰度计算错误");
}
}
public void TestLatitude()
{
if (!testHelper.TestChartNull())
{
return;
}
//processbar.Value = 0;
BeginTime = DateTime.Now;
try
{
(testHelper.CurrentChart as ITEGrayscaleChart).ConstGradeL = lynxUpDownConstL.DoubleValue;
int v = (testHelper.CurrentChart as ITEGrayscaleChart).getGrayGrade(lynxUpDownH.IntValue, lynxUpDownW.IntValue);
EndTime = DateTime.Now;
//textBlockLatitude.Text = v.ToString();
LParameter lp = testHelper.getNewParameter("ITE灰阶", v, BeginTime, EndTime);
lp.Name = "灰阶";
lp.Memo = "数据表示在一张照片里面可以分辨的灰阶亮度级别";
lp.Dimension = "级";
testHelper.ParameterList.Add(lp);
ShowTestResult(lChartPhoto.getPhoto());
//List<double> dl = (testHelper.CurrentChart as ITEGrayscaleChart).getHLineAveL(lynxUpDownH.IntValue, lynxUpDownW.IntValue);
//comboBoxLGrade.Items.Clear();
//canvasLatitude.Children.Clear();
//dg.DrawBrightHistogram(dl);
if (v == 11)
{
ChartTestHelper.setGBSign(true, gridGB);
}
else
{
ChartTestHelper.setGBSign(false, gridGB);
}
}
catch (Exception xe)
{
testHelper.ProcessError(xe, "灰阶计算错误,请检查照片");
}
EndTime = DateTime.Now;
//processbar.Value = 100;
}
void TestDEV()
{
try
{
BeginTime = DateTime.Now;
double r = (testHelper.CurrentChart as GrayChart).ptp.getGBDEv(lChartPhoto1.getPhoto(), lynxUpDownGamma.DoubleValue, lynxUpDownP.DoubleValue);
EndTime = DateTime.Now;
LParameter lp = testHelper.getNewParameter("灰度测试卡", r, BeginTime, EndTime);
lp.Name = "曝光量误差";
lp.Memo = "计算照片中央明度来确定曝光量";
lp.Dimension = "";
testHelper.ParameterList.Add(lp);
WriteableBitmap cb = (testHelper.CurrentChart as GrayChart).ptp.getImageArea(lChartPhoto1.getPhoto(), lChartPhoto1.getPhoto().PixelWidth / 4, lChartPhoto1.getPhoto().PixelHeight / 4, lChartPhoto1.getPhoto().PixelWidth / 2, lChartPhoto1.getPhoto().PixelHeight / 2);
double l = (testHelper.CurrentChart as GrayChart).ptp.getAverageColorL(cb);
lp = testHelper.getNewParameter("灰度测试卡", l, BeginTime, EndTime);
lp.Name = "中央平均明度";
lp.Memo = "照片中央明度";
lp.Dimension = "";
testHelper.ParameterList.Add(lp);
if (Math.Abs(r) >= 1)
{
ChartTestHelper.setGBSign(false, gridGB);
}
else
{
ChartTestHelper.setGBSign(true, gridGB);
}
//testHelper.ShowTestResult(TextAberration, "曝光量", null);
ShowTestResult(lChartPhoto1.getPhoto());
}
catch (Exception xe)//未知的异常
{
testHelper.ProcessError(xe, "曝光量计算错误");
}
}
void TestAberration()
{
try
{
BeginTime = DateTime.Now;
double r = (testHelper.CurrentChart as AberrationChart).getAberration();
EndTime = DateTime.Now;
LParameter lp = testHelper.getNewParameter("畸变测试卡", r, BeginTime, EndTime);
lp.Name = "畸变";
lp.Memo = "查看照片两端垂直黑色线条的弯曲程度";
lp.Dimension = "";
//lp.TestChart = testHelper.CurrentChart.ChartPhoto;
testHelper.ParameterList.Add(lp);
testHelper.ShowTestResult(TextAberration, "畸变", null);
}
catch (Exception xe)//未知的异常
{
testHelper.ProcessError(xe, "畸变计算错误");
}
}
public void TestLatitude()
{
if (!testHelper.TestChartNull())
{
return;
}
//processbar.Value = 0;
BeginTime = DateTime.Now;
try
{
//t.setChart(ChartPhoto.getPhoto());
int h = lynxUpDown1.IntValue;
if (h == 0)
{
h = 7; lynxUpDown1.LongValue = 7;
}
double v = (testHelper.CurrentChart as KDGrayChart).getLatitude(h);
EndTime = DateTime.Now;
textBlockLatitude.Text = v.ToString();
LParameter lp = testHelper.getNewParameter("柯达灰阶", v, BeginTime, EndTime);
lp.Name = "宽容度";
lp.Memo = "数据表示在一张照片里面可以分辨的亮度级别";
lp.Dimension = "级";
//lp.TestChart = testHelper.CurrentChart.ChartPhoto;
testHelper.ParameterList.Add(lp);
//List<double> dl = (testHelper.CurrentChart as KDGrayChart).getHLine(ChartPhoto.getPhoto().PixelHeight/2);
//DrawGraphic dg = new DrawGraphic(canvasLatitude);
//dg.DrawBrightHistogram(dl);
}
catch (Exception xe)
{
testHelper.ProcessError(xe, "宽容度计算错误,请检查照片");
}
EndTime = DateTime.Now;
//processbar.Value = 100;
}
