//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; }