//得到车牌的所有信息通过不同的方法
public static PlateInfo GetPlateInfoByMutilMethod(PlateInfo plateInfo, PlateColor plateColor)
{
PlateInfo plateInfoByOriginal = GetPlateInfo(plateInfo, plateColor, CharSplitMethod.原图);
PlateInfo plateInfoByGamma = GetPlateInfo(plateInfo, plateColor, CharSplitMethod.伽马);
PlateInfo plateInfoByIndex = GetPlateInfo(plateInfo, plateColor, CharSplitMethod.指数);
PlateInfo plateInfoByLog = GetPlateInfo(plateInfo, plateColor, CharSplitMethod.对数);
List <PlateInfo> plateInfos = new List <PlateInfo>();
if (plateInfoByOriginal.CharInfos != null && plateInfoByOriginal.CharInfos.Count != 0)
{
plateInfos.Add(plateInfoByOriginal);
}
if (plateInfoByGamma.CharInfos != null && plateInfoByGamma.CharInfos.Count != 0)
{
plateInfos.Add(plateInfoByGamma);
}
if (plateInfoByIndex.CharInfos != null && plateInfoByIndex.CharInfos.Count != 0)
{
plateInfos.Add(plateInfoByIndex);
}
if (plateInfoByLog.CharInfos != null && plateInfoByLog.CharInfos.Count != 0)
{
plateInfos.Add(plateInfoByLog);
}
if (plateInfos.Count == 0)
{
return(new PlateInfo());
}
plateInfos.Sort(new PlateInfoComparer_DESC());
PlateInfo result = plateInfos[0];
return(result);
}
//清除铆钉和边框
public static Mat ClearMaodingAndBorder(Mat matGray, PlateColor plateColor)
{
Mat threshold = null;
//注意后面的thresholdTypes参数，将黄牌的白底黑字转为和蓝牌一样的黑底白字
switch (plateColor)
{
case PlateColor.BLUE:
threshold = matGray.Threshold(1, 255, ThresholdTypes.Otsu | ThresholdTypes.Binary);
break;
case PlateColor.YELLOW:
threshold = matGray.Threshold(1, 255, ThresholdTypes.Otsu | ThresholdTypes.BinaryInv);
break;
case PlateColor.UNKNOW:
threshold = matGray.Threshold(1, 255, ThresholdTypes.Otsu | ThresholdTypes.Binary);
break;
}
Mat matOfClearBoder = ClearBorder(threshold);
Mat matOfClearMaodingAndBorder = ClearMaoding(matOfClearBoder);
return(matOfClearMaodingAndBorder);
}
public static void AutoProcessCharSegement(List <string> files, string savePath)
{
for (int i = 0; i < files.Count; i++)
{
Mat matIn = new Mat(files[i]);
Mat matGray = matIn.CvtColor(ColorConversionCodes.RGB2GRAY);
PlateColor plateColor = GetPlateColor(matIn);
Mat matClear = ClearMaodingAndBorder(matGray, plateColor);
//找轮廓
OpenCvSharp.Point[][] contours = null;
HierarchyIndex[] hierarchyIndices = null;
matClear.FindContours(out contours, out hierarchyIndices, RetrievalModes.External, ContourApproximationModes.ApproxNone);
//求轮廓外接最小矩形
List <Rect> rects = new List <Rect>();
Mat matContours = matIn.Clone();
for (int index = 0; index < contours.Length; index++)
{
Rect rect = Cv2.BoundingRect(contours[index]);
if (VerifyRect(rect) &&
NotOnBorder(rect, matIn.Size()))
{
rects.Add(rect);
Cv2.Rectangle(matContours, rect, new Scalar(0, 0, 255), 1);
}
}
//去除内部矩形
Mat matInner = matIn.Clone();
rects = RejectInnerRectFromRects(rects);
for (int index = 0; index < rects.Count; index++)
{
Cv2.Rectangle(matInner, rects[index], new Scalar(0, 0, 255), 1);
}
//调整矩形大小
Mat matAdjust = matIn.Clone();
rects = AdjustRects(rects);
for (int index = 0; index < rects.Count; index++)
{
Cv2.Rectangle(matAdjust, rects[index], new Scalar(0, 0, 255), 1);
}
rects = GetSafeRects(matIn, rects);
//保存切分的图片
int j = 0;
foreach (Rect rect in rects)
{
Mat roi = new Mat(matIn, rects[j]);
Cv2.ImWrite(savePath + "\\sample_" + i.ToString() + "_" + j.ToString() + ".jpg", roi);
j++;
}
}
}
//原始分割
public static List <CharInfo> SplitePlateByOriginal(Mat originalMat, Mat plateMat,
PlateColor plateColor,
CharSplitMethod charSplitMethod = CharSplitMethod.原图,
int leftLimit = 0, int rightLimit = 0,
int topLimit = 0, int bottomLimit = 0,
int minWidth = 2, int maxWidth = 30,
int minHeight = 10, int maxHeight = 80,
float minRatio = 0.08f, float maxRatio = 2f)
{
List <CharInfo> result = new List <CharInfo>();
Mat gray = plateMat.CvtColor(ColorConversionCodes.BGR2GRAY);
Mat matOfClearMaodingAndBorder = ClearMaodingAndBorder(gray, plateColor);
OpenCvSharp.Point[][] contours = null;
HierarchyIndex[] hierarchyIndices = null;
matOfClearMaodingAndBorder.FindContours(out contours, out hierarchyIndices,
RetrievalModes.External, ContourApproximationModes.ApproxNone);
List <Rect> rects = new List <Rect>();
//将轮廓使用RECT矩形框选出来
for (int index = 0; index < contours.Length; index++)
{
Rect rect = Cv2.BoundingRect(contours[index]);
if (NotOnBorder(rect, plateMat.Size(), leftLimit, rightLimit, topLimit, bottomLimit) &&
VerifyRect(rect, minWidth, maxWidth, minHeight, maxHeight, minRatio, maxRatio))
{
rects.Add(rect);
}
}
rects = RejectInnerRectFromRects(rects);
//rects = RejectOutFromRects(rects);
rects = AdjustRects(rects);
if (rects.Count == 0)
{
return(result);
}
for (int index = 0; index < rects.Count; index++)
{
CharInfo plateCharInfo = new CharInfo();
rects[index] = Utilities.GetSafeRect(rects[index], originalMat);
Rect rectROI = rects[index];
if (rectROI.Width == 0 && rectROI.Height == 0)
{
continue;
}
Mat matROI = originalMat.SubMat(rectROI);
plateCharInfo.OriginalMat = matROI;
plateCharInfo.OriginalRect = rectROI;
plateCharInfo.CharSplitMethod = charSplitMethod;
result.Add(plateCharInfo);
}
result.Sort(new CharInfoLeftComparer());
return(result);
}
//根据原图切割，返回该车牌上的字符的信息
public static List <CharInfo> SplitePlateByOriginal(Mat matOriginal, Mat matPlate,
PlateColor plateColor,
int leftLimit = 0, int rightLimit = 0,
int topLimit = 0, int bottomLimit = 0,
int minWidth = 2, int maxWidth = 30,
int minHeight = 10, int maxHeight = 80,
float minRatio = 0.08f, float maxRatio = 2f)
{
List <CharInfo> result = new List <CharInfo>();
Mat matGray = matPlate.CvtColor(ColorConversionCodes.BGR2GRAY); //先将车牌转为灰度图,注意蓝黄牌会有很大区别
Mat matClear = ClearMaodingAndBorder(matGray, plateColor); //去除铆钉和边框
//找轮廓
OpenCvSharp.Point[][] contours = null;
HierarchyIndex[] hierarchyIndices = null;
matClear.FindContours(out contours, out hierarchyIndices, RetrievalModes.External, ContourApproximationModes.ApproxNone);
//求轮廓外接最小矩形
List <Rect> rects = new List <Rect>();
for (int index = 0; index < contours.Length; index++)
{
Rect rect = Cv2.BoundingRect(contours[index]);
if (VerifyRect(rect, minWidth, maxWidth, minHeight, maxHeight, minRatio, maxRatio) &&
NotOnBorder(rect, matPlate.Size(), leftLimit, rightLimit, topLimit, bottomLimit))
{
rects.Add(rect);
// Cv2.Rectangle(matPlate, rect, new Scalar(0, 0, 255), 1);
}
}
rects = RejectInnerRectFromRects(rects); //去掉矩形内部的矩形
rects = AdjustRects(rects); //对矩形大小等进行调整
rects = GetSafeRects(matOriginal, rects); //检查安全矩形
if (rects.Count == 0)
{
return(result);
}
for (int index = 0; index < rects.Count; index++)
{
CharInfo plateCharInfo = new CharInfo(); //字符信息
Rect rectROI = rects[index]; //字符所在矩形
Mat matROI = matOriginal.SubMat(rectROI); //字符的图片
plateCharInfo.OriginalMat = matROI;
plateCharInfo.OriginalRect = rectROI;
result.Add(plateCharInfo);
}
return(result);
}
//
public static PlateInfo GetPlateInfo(PlateInfo plateInfo, PlateColor plateColor, CharSplitMethod
splitMethod)
{
PlateInfo result = new PlateInfo();
result.PlateCategory = plateInfo.PlateCategory;
result.OriginalMat = plateInfo.OriginalMat;
result.OriginalRect = plateInfo.OriginalRect;
result.PlateLocateMethod = plateInfo.PlateLocateMethod;
result.PlateColor = plateColor;
List <CharInfo> charInfos = new List <CharInfo>();
switch (splitMethod)
{
case CharSplitMethod.伽马:
charInfos = CharSegment_V3.SplitePlateByGammaTransform(plateInfo.OriginalMat,
plateColor);
break;
case CharSplitMethod.指数:
charInfos = CharSegment_V3.SplitePlateByIndexTransform(plateInfo.OriginalMat, plateColor);
break;
case CharSplitMethod.对数:
charInfos = CharSegment_V3.SplitePlateByLogTransform(plateInfo.OriginalMat, plateColor);
break;
case CharSplitMethod.原图:
default:
charInfos = CharSegment_V3.SplitePlateByOriginal(plateInfo.OriginalMat,
plateInfo.OriginalMat, plateColor);
break;
}
//启动SVM识别字符并将其中的非字符去除
for (int index = charInfos.Count - 1; index >= 0; index--)
{
CharInfo charInfo = charInfos[index];
PlateChar plateChar = PlateChar_SVM.Test(charInfo.OriginalMat);
if (plateChar == PlateChar.非字符)
{
charInfos.RemoveAt(index);
}
charInfo.PlateChar = plateChar;
}
result.CharInfos = charInfos;
//检测
CheckLeftAndRightToRemove(result);
CheckPlateColor(result);
return(result);
}
public bool Update(string plateId, string plateNumber, PlateColor color, DbOperator dbOperator)
{
StringBuilder strSql = new StringBuilder();
strSql.Append("update EmployeePlate set PlateNo=@PlateNo,Color=@Color,LastUpdateTime=@LastUpdateTime,HaveUpdate=@HaveUpdate");
strSql.Append(" where PlateID=@PlateID");
dbOperator.ClearParameters();
dbOperator.AddParameter("PlateID", plateId);
dbOperator.AddParameter("PlateNo", plateNumber);
dbOperator.AddParameter("Color", (int)color);
dbOperator.AddParameter("LastUpdateTime", DateTime.Now);
dbOperator.AddParameter("HaveUpdate", SystemDefaultConfig.DataUpdateFlag);
return(dbOperator.ExecuteNonQuery(strSql.ToString()) > 0);
}
//通过对数变换分割
public static List <CharInfo> SplitePlateByLogTransform(Mat originalMat,
PlateColor plateColor,
int leftLimit = 0, int rightLimit = 0,
int topLimit = 0, int bottomLimit = 0,
int minWidth = 2, int maxWidth = 30,
int minHeight = 10, int maxHeight = 80,
float minRatio = 0.08f, float maxRatio = 2f)
{
Mat plateMat = Utilities.LogTransform(originalMat);
return(SplitePlateByOriginal(originalMat, plateMat, plateColor,
CharSplitMethod.对数,
leftLimit, rightLimit,
topLimit, bottomLimit,
minWidth, maxWidth,
minHeight, maxHeight,
minRatio, maxRatio));
}
public static bool Update(string plateId, string plateNumber, PlateColor color)
{
if (string.IsNullOrWhiteSpace(plateId))
{
throw new ArgumentNullException("plateId");
}
if (string.IsNullOrWhiteSpace(plateNumber))
{
throw new ArgumentNullException("plateNumber");
}
IEmployeePlate factory = EmployeePlateFactory.GetFactory();
using (DbOperator dbOperator = ConnectionManager.CreateReadConnection())
{
return(factory.Update(plateId, plateNumber, color, dbOperator));
}
}
//通过gamma增强原图后在切割
public static List <CharInfo> SplitePlateByGammaTransform(Mat originalMat,
PlateColor plateColor,
float gammaFactor = 0.40f,
int leftLimit = 0, int rightLimit = 0,
int topLimit = 0, int bottomLimit = 0,
int minWidth = 1, int maxWidth = 30,
int minHeight = 10, int maxHeight = 80,
float minRatio = 0.08f, float maxRatio = 2f)
{
Mat plateMat = Utilities.GammaTransform(originalMat, gammaFactor);
return(SplitePlateByOriginal(originalMat, plateMat, plateColor,
leftLimit, rightLimit,
topLimit, bottomLimit,
minWidth, maxWidth,
minHeight, maxHeight,
minRatio, maxRatio));
}
//清除铆钉和边界
public static Mat ClearMaodingAndBorder(Mat gray, PlateColor plateColor)
{
Mat threshold = null;
switch (plateColor)
{
case PlateColor.蓝牌:
threshold = gray.Threshold(1, 255, ThresholdTypes.Otsu | ThresholdTypes.Binary);
break;
case PlateColor.黄牌:
threshold = gray.Threshold(1, 255, ThresholdTypes.Otsu | ThresholdTypes.BinaryInv);
break;
case PlateColor.未知:
//这里的二值化记得拿去用一下下
threshold = gray.Threshold(1, 255, ThresholdTypes.Otsu | ThresholdTypes.Binary);
break;
}
Mat matOfClearBoder = ClearBorder(threshold);
Mat matOfClearMaodingAndBorder = ClearMaoding(matOfClearBoder);
return(matOfClearMaodingAndBorder);
}
//展示字符
private void ProcessAndShowChars(Bitmap plate)
{
currentTabCount = 0;
Mat matIn = plate.ToMat();
AddTag("原图", matIn);
// matIn = Utilities.GammaTransform(matIn);
//AddTag("gamma增强", matIn);
//matIn = Utilities.IndexTransform(matIn);
//AddTag("指数增强", matIn);
//matIn = Utilities.LogTransform(matIn);
//AddTag("指数增强", matIn);
//matIn = Utilities.LaplaceTransform(matIn);
//AddTag("拉普拉斯",matIn);
Mat matGray = matIn.CvtColor(ColorConversionCodes.RGB2GRAY);
AddTag("灰度图", matGray);
PlateColor plateColor = CharSegement.GetPlateColor(matIn);
Mat matClear = CharSegement.ClearMaodingAndBorder(matGray, plateColor);
AddTag("去边框与铆钉", matClear);
//找轮廓
OpenCvSharp.Point[][] contours = null;
HierarchyIndex[] hierarchyIndices = null;
matClear.FindContours(out contours, out hierarchyIndices, RetrievalModes.External,
ContourApproximationModes.ApproxNone);
//求轮廓外接最小矩形
List <Rect> rects = new List <Rect>();
Mat matContours = matIn.Clone();
for (int index = 0; index < contours.Length; index++)
{
Rect rect = Cv2.BoundingRect(contours[index]);
if (CharSegement.VerifyRect(rect) &&
CharSegement.NotOnBorder(rect, matIn.Size()))
{
rects.Add(rect);
Cv2.Rectangle(matContours, rect, new Scalar(0, 0, 255), 1);
}
}
AddTag("外接矩形", matContours);
//去除内部矩形
Mat matInner = matIn.Clone();
rects = CharSegement.RejectInnerRectFromRects(rects);
for (int index = 0; index < rects.Count; index++)
{
Cv2.Rectangle(matInner, rects[index], new Scalar(0, 0, 255), 1);
}
AddTag("去内部矩形", matInner);
//调整矩形大小
Mat matAdjust = matIn.Clone();
rects = CharSegement.AdjustRects(rects);
for (int index = 0; index < rects.Count; index++)
{
Cv2.Rectangle(matAdjust, rects[index], new Scalar(0, 0, 255), 1);
}
AddTag("调整大小", matAdjust);
//得到安全矩形
rects = CharSegement.GetSafeRects(matIn, rects);;
//展示切割结果
ShowSpliteImage(rects, matIn);
}
