private void tvTest_AfterSelect(object sender, TreeViewEventArgs e)
{
if (e.Node.Level == 0)
{
return;
}
string fileName = e.Node.Tag as string;
if (fileName == null)
{
return;
}
Mat matPreview = Cv2.ImRead(fileName);
this.picImage.Image = matPreview.ToBitmap();
PlateCategory category = Plate_SVM.Test(matPreview);
this.txtinfo.AppendText(string.Format("\r\n预测结果：{0}\r\n", category));
}
public static List <Mat> carCharSplit(Mat matPlate)
{
Mat hsvmat = matPlate.CvtColor(ColorConversionCodes.BGR2HSV);
Mat[] hsv = hsvmat.Split();
Mat h = hsv[0];
Mat s = hsv[1];
Mat v = hsv[2];
for (int i = 0; i < hsvmat.Rows; i++)
{
for (int j = 0; j < hsvmat.Cols; j++)
{
byte hvalue = h.At <byte>(i, j); //////////////////h通道/-/////////////////////
// Console.WriteLine(hvalue + ":h");
byte svalue = s.At <byte>(i, j); //////////////////s通道/-/////////////////////
byte vvalue = v.At <byte>(i, j); //////////////////v通道/-/////////////////////
// printf("x=%d,y=%d,HSV: H=%d,S=%d,V=%d\n",i,j,hvalue,svalue,vvalue);
if ((hvalue > 80 && hvalue < 130) && (svalue > 43 && svalue < 220) && (vvalue > 46 && vvalue < 255)) //hsv图像在蓝色区域里
{
//蓝色+1
bluenum++;
}
else if ((hvalue > 11 && hvalue < 34) && (svalue > 43 && svalue < 255) && (vvalue > 46 && vvalue < 255))//hsv在黄色区域里
{
//黄色+1
yellownum++;
}
else if ((hvalue > 0 && hvalue < 180) && (svalue > 0 && svalue < 255) && (vvalue > 0 && vvalue < 46))//hsv在黑色区域里
{
blacknum++;
//黑色+1
}
else if ((hvalue > 0 && hvalue < 180) && (svalue > 0 && svalue < 30) && (vvalue > 46 && vvalue < 220))//hsv在白色区域里
{
//白色+1
whitenum++;
}
else if ((hvalue > 60 && hvalue < 90) && (svalue > 43 && svalue < 255) && (vvalue > 46 && vvalue < 255))//hsv在绿色区域里
{
//绿色+1
greennum++;
}
else
{
//其他颜色
othernum++;
}
}
}
Console.WriteLine(greennum + ":绿色");
Console.WriteLine(hsvmat.Rows * hsvmat.Cols + ":总");
Console.WriteLine(yellownum + ":黄色");
Console.WriteLine(bluenum + ":蓝色");
// 灰度
matGray_car = matPlate.CvtColor(ColorConversionCodes.BGR2GRAY);
//二值化
Mat matshoid_th = matGray_car.Threshold(0, 255, ThresholdTypes.Otsu | ThresholdTypes.Binary);
matshoid = new Mat();
// 判断 取反 否
if (bluenum < yellownum && yellownum > greennum)
{
// 取反
matshoid = 255 - matshoid_th;
}
else if (bluenum > yellownum && bluenum > greennum)
{
matshoid = matGray_car.Threshold(0, 255, ThresholdTypes.Otsu | ThresholdTypes.Binary);
}
else if (greennum > yellownum && greennum > bluenum)
{
// 取反
matshoid = 255 - matshoid_th;
}
else
{
matshoid = matGray_car.Threshold(0, 255, ThresholdTypes.Otsu | ThresholdTypes.Binary);
}
// 车牌高度大于20的去除边框和柳钉
Mat clearBorder = new Mat();
Mat clearMoDing = new Mat();
if (matshoid.Height > 22)
{
// 去除边框
clearBorder = ClearBorder(matshoid);
// 去除柳钉
clearMoDing = ClearMaoding(matshoid, 4);
}
else if (matshoid.Height <= 22 && matshoid.Height > 20)
{
// 去除边框
clearBorder = ClearBorder(matshoid);
// 去除柳钉
clearMoDing = ClearMaoding(matshoid, 3);
}
else
{
clearMoDing = matshoid;
}
// 膨胀
Mat element = Cv2.GetStructuringElement(MorphShapes.Rect, new OpenCvSharp.Size(1, 1));
matDilate_car = clearMoDing.MorphologyEx(MorphTypes.Dilate, element);
//点的二维数组
OpenCvSharp.Point[][] contours = null;
HierarchyIndex[] hierarchyIndexs = null;
matDilate_car.FindContours(out contours, out hierarchyIndexs, RetrievalModes.External, ContourApproximationModes.ApproxSimple);
matWithFalg_car = matPlate.Clone();
matWithFalg_car.DrawContours(contours, -1, Scalar.Red);
matWithRects = matPlate.Clone();
// 创建集合 存储分割后的图片 -- 用于 识别
List <Mat> ListMat = new List <Mat>();
// 切割的矩形 图
List <Rect> ListRect = new List <Rect>();
for (int index = 0; index < contours.Length; index++)
{
Rect rect = Cv2.BoundingRect(contours[index]);
ListRect.Add(rect);
matWithRects.Rectangle(rect, Scalar.Red);
}
// 对分割的字符排序
SortRectsByLeft_ASC(ListRect);
foreach (var rect in ListRect)
{
Mat matchar = matPlate.SubMat(rect); // 切割矩形
Console.WriteLine("========= 宽:" + matchar.Width + " 高:" + matchar.Height);
// 判断 太小的不要
if (matchar.Width >= 3 && matchar.Height >= 10)
{
PlateCategory plateCate = Plate_SVM.Test(matchar);
ListMat.Add(matchar);
Console.WriteLine(ListMat.Count + " 个");
}
Console.WriteLine("========= 宽:" + rect.Width + " 高:" + rect.Height + " X:" + rect.X + " Y:" + rect.Y);
}
return(ListMat);
}