private Bitmap GrayPicture(string filename, int index, PictureOpticflowDataResultStruct[] PictureOpticflowDataResultArray)
{
Bitmap bmp = (Bitmap)Image.FromFile(filename);
int PictureWidth = bmp.Width;
int PictureHeight = bmp.Height;
int strideValue;
double max = 0, min = 255;
float AverageOrigingray = 0;
double SumCurentgray = 0;
int lenth = PictureWidth * PictureHeight;
if (lenth == PictureOpticflowDataResultArray[index].OpticflowResultFOfPixelArray.Length)
{
Apicturegrayinformation[] ApicturegrayinformationArray = new Apicturegrayinformation[lenth];
Rectangle rect = new Rectangle(0, 0, PictureWidth, PictureHeight);
System.Drawing.Imaging.BitmapData bmpData = bmp.LockBits(rect, System.Drawing.Imaging.ImageLockMode.ReadWrite, bmp.PixelFormat);
IntPtr ptr = bmpData.Scan0;
if (grayed == true) // 灰度化显示
{
if (PictureWidth % 4 == 0)
{
strideValue = PictureWidth * 3;
byte[] rgbValues = new byte[lenth * 3];
System.Runtime.InteropServices.Marshal.Copy(ptr, rgbValues, 0, lenth * 3);
//灰度化
Dogray(ref ApicturegrayinformationArray, rgbValues, strideValue, PictureWidth, PictureHeight, false, ref max, ref min, ref AverageOrigingray);
//灰度拉伸
graystretch(ref ApicturegrayinformationArray, max, min, ref SumCurentgray);
}
else
{
strideValue = bmpData.Stride;
int bytes = strideValue * PictureHeight;
byte[] rgbValues = new byte[bytes];
System.Runtime.InteropServices.Marshal.Copy(ptr, rgbValues, 0, bytes);
//灰度化
Dogray(ref ApicturegrayinformationArray, rgbValues, strideValue, PictureWidth, PictureHeight, false, ref max, ref min, ref AverageOrigingray);
//灰度拉伸
graystretch(ref ApicturegrayinformationArray, max, min, ref SumCurentgray);
//光滑去噪
//showgussSmooth(ref ApicturegrayinformationArray);
}
bmp.UnlockBits(bmpData);
bmp.Dispose();
GC.Collect();
curBitmap = CreateBmpByGrays(ApicturegrayinformationArray, index, PictureWidth, PictureHeight, PictureOpticflowDataResultArray);
return(curBitmap);
} // 灰度化显示
else // 彩色显示
{
float tmp = 0;
if (PictureWidth % 4 == 0)
{
strideValue = PictureWidth * 3;
byte[] rgbValues = new byte[lenth * 3];
System.Runtime.InteropServices.Marshal.Copy(ptr, rgbValues, 0, lenth * 3);
for (int i = 0; i < lenth; i++)
{
for (int j = 0; j < 3; j++)
{
if (biaodingDsp == true)
{
tmp = rgbValues[i * 3 + j];
}
else
{
tmp = 0;
}
if (graydeltaAdd == true) // 灰度叠加
{
if (forwardAdd == true) // 正向叠加
{
tmp += PictureOpticflowDataResultArray[index].OpticflowResultFOfPixelArray[i].Greyvalue * FactorOfGreygrad;
}
else
{
tmp -= PictureOpticflowDataResultArray[index].OpticflowResultFOfPixelArray[i].Greyvalue * FactorOfGreygrad;
}
}
if (tmp > 255)
{
rgbValues[i * 3 + j] = 255;
}
if (tmp < 0)
{
rgbValues[i * 3 + j] = 0;
}
if ((tmp >= 0) & (tmp <= 255))
{
rgbValues[i * 3 + j] = (byte)tmp;
}
}
}
System.Runtime.InteropServices.Marshal.Copy(rgbValues, 0, ptr, lenth * 3);
}
else
{
strideValue = bmpData.Stride;
int bytes = strideValue * PictureHeight;
byte[] rgbValues = new byte[bytes];
System.Runtime.InteropServices.Marshal.Copy(ptr, rgbValues, 0, bytes);
for (int i = 0; i < rgbValues.Length; i++)
{
if (biaodingDsp == true)
{
tmp = rgbValues[i];
}
else
{
tmp = 0;
}
if (graydeltaAdd == true) // 灰度叠加
{
if (forwardAdd == true) // 正向叠加
{
tmp += PictureOpticflowDataResultArray[index].OpticflowResultFOfPixelArray[i].Greyvalue * FactorOfGreygrad;
}
else
{
tmp -= PictureOpticflowDataResultArray[index].OpticflowResultFOfPixelArray[i].Greyvalue * FactorOfGreygrad;
}
}
if (tmp > 255)
{
rgbValues[i] = 255;
}
if (tmp < 0)
{
rgbValues[i] = 0;
}
if ((tmp >= 0) & (tmp <= 255))
{
rgbValues[i] = (byte)tmp;
}
}
System.Runtime.InteropServices.Marshal.Copy(rgbValues, 0, ptr, bytes);
}
bmp.UnlockBits(bmpData);
return(bmp);
}
}
else
{
MessageBox.Show("计算灰度差的照片大小与当前照片大小不一致！！！");
return(bmp);
}
}
private void testToolStripMenuItem_Click(object sender, EventArgs e)
{
//读入Excel数据
#region 测试读入Excel数据
//OpenFileDialog openFileDialog1 = new OpenFileDialog();
//DataTable ExcelTable;
//openFileDialog1.ShowDialog();
//string MyFileName = openFileDialog1.FileName;
//if (MyFileName.Trim() == "")
//{
// return;
//}
//string MyFilePath = Path.GetFullPath(MyFileName);
//string strCon = "Provider=Microsoft.Jet.OLEDB.4.0;" + "Data Source=" + MyFilePath + ";Extended Properties=Excel 8.0;";
//OleDbConnection myConn = new OleDbConnection(strCon);
//string strCom = " SELECT * FROM [Sheet1$] ";
//myConn.Open();
//OleDbDataAdapter myCommand = new OleDbDataAdapter(strCom, myConn);
//DataSet myDataSet = new DataSet();
//myCommand.Fill(myDataSet, "[Sheet1$]");
//myConn.Close();
//ExcelTable = myDataSet.Tables[0];
//int iRows = ExcelTable.Rows.Count;
//int iColums = ExcelTable.Columns.Count;
////string[,] StoreData = new string[iRows, iColums];
//string[] StoreData = new string[iRows * iColums];
//float[] Data = new float[iRows * iColums];
//int k = 0;
//for (int i = 0; i < ExcelTable.Rows.Count; i++)
// for (int j = 0; j < ExcelTable.Columns.Count; j++)
// {
// //将Excel表中的数据存储到数组
// StoreData[k] = ExcelTable.Rows[i][j].ToString();
// k++;
// }
//for (int i = 0; i < StoreData.Length;i++ )
//{
// //Data[i] =(float) StoreData[i];
//}
#endregion
Bitmap ReferencePictureBitmap; // 图像对象
Bitmap CurPictureBitmap; // 图像对象
CreatArray CreatArray = new CreatArray(); //创建数组对象
//得到bitmap
ReferencePictureBitmap = (Bitmap)Image.FromFile(currentOMC.readFileNames[0]);//得到母板点的Bitmap
CurPictureBitmap = (Bitmap)Image.FromFile(currentOMC.readFileNames[1]);
Apicturegrayinformation[] Im1 = new Apicturegrayinformation[ReferencePictureBitmap.Height * ReferencePictureBitmap.Width];
Apicturegrayinformation[] Im2 = new Apicturegrayinformation[CurPictureBitmap.Width * CurPictureBitmap.Height];
Apicturegrayinformation[] Im2correction = new Apicturegrayinformation[CurPictureBitmap.Width * CurPictureBitmap.Height];
// 装载灰度数组
//CreatArray.creatPictureGreyArray(ReferencePictureBitmap, ref Im1);
//CreatArray.creatPictureGreyArray(CurPictureBitmap, ref Im2);
functionFun.LoadgrayValuesArrayForMatch(ReferencePictureBitmap, ref Im1); //装载母板灰度数组
functionFun.LoadgrayValuesArrayForMatch(CurPictureBitmap, ref Im2); //装载后一帧图片灰度数组
float[] unew = new float[Im1.Length];
float[] vnew = new float[Im1.Length];
// 光强修正
functionFun.correction_illumination(CurPictureBitmap, Im1, Im2, ref Im2correction);
//预处理
functionFun.horn_schunk_estimator(CurPictureBitmap, Im1, Im2, ref unew, ref vnew);
}
