int CPlateDetect::plateDetect(Mat src, vector<Mat>& resultVec, int index)
{
//可能是车牌的图块集合
vector<Mat> matVec;
int resultLo = m_plateLocate->plateLocate(src, matVec);
if (0 != resultLo)
return -1;
int resultJu = m_plateJudge->plateJudge(matVec, resultVec);
if(getPDDebug())
{
int size = resultVec.size();
for (int i = 0; i < size; i++)
{
Mat img = resultVec[i];
if(1)
{
stringstream ss(stringstream::in | stringstream::out);
ss << "image/tmp/plate_judge_result_" << i << ".jpg";
imwrite(ss.str(), img);
}
}
}
if (0 != resultJu)
return -2;
return 0;
}
// !车牌识别模块
int CPlateRecognize::plateRecognize(Mat src, std::vector<string> &licenseVec) {
// 车牌方块集合
vector<CPlate> plateVec;
// 进行深度定位，使用颜色信息与二次Sobel
int resultPD = plateDetect(src, plateVec, getPDDebug(), 0);
if (resultPD == 0) {
int num = plateVec.size();
int index = 0;
//依次识别每个车牌内的符号
for (int j = 0; j < num; j++) {
CPlate item = plateVec[j];
Mat plate = item.getPlateMat();
//获取车牌颜色
string plateType = getPlateColor(plate);
//获取车牌号
string plateIdentify = "";
int resultCR = charsRecognise(plate, plateIdentify);
if (resultCR == 0) {
string license = plateType + ":" + plateIdentify;
licenseVec.push_back(license);
}
}
//完整识别过程到此结束
//如果是Debug模式，则还需要将定位的图片显示在原图左上角
if (getPDDebug() == true) {
Mat result;
src.copyTo(result);
for (int j = 0; j < num; j++) {
CPlate item = plateVec[j];
Mat plate = item.getPlateMat();
int height = 36;
int width = 136;
if (height * index + height < result.rows) {
Mat imageRoi = result(Rect(0, 0 + height * index, width, height));
addWeighted(imageRoi, 0, plate, 1, 0, imageRoi);
}
index++;
RotatedRect minRect = item.getPlatePos();
Point2f rect_points[4];
minRect.points(rect_points);
Scalar lineColor = Scalar(255, 255, 255);
if (item.getPlateLocateType() == SOBEL) lineColor = Scalar(255, 0, 0);
if (item.getPlateLocateType() == COLOR) lineColor = Scalar(0, 255, 0);
for (int j = 0; j < 4; j++)
line(result, rect_points[j], rect_points[(j + 1) % 4], lineColor, 2,
8);
}
//显示定位框的图片
showResult(result);
}
}
return resultPD;
}
// !车牌识别模块
int CPlateRecognize::plateRecognize(Mat src, vector<string>& licenseVec, int index)
{
// 车牌方块集合
vector<CPlate> plateVec;
// 如果设置了Debug模式，就依次显示所有的图片
bool showDetectArea = getPDDebug();
// 进行深度定位，使用颜色信息与二次Sobel
int resultPD = plateDetectDeep(src, plateVec, showDetectArea, 0);
Mat result;
src.copyTo(result);
if (resultPD == 0)
{
int num = plateVec.size();
int index = 0;
for (int j = 0; j < num; j++)
{
CPlate item = plateVec[j];
Mat plate = item.getPlateMat();
//获取车牌颜色
string plateType = getPlateColor(plate);
//获取车牌号
string plateIdentify = "";
int resultCR = charsRecognise(plate, plateIdentify);
if (resultCR == 0)
{
string license = plateType + ":" + plateIdentify;
licenseVec.push_back(license);
/*int height = 36;
int width = 136;
if(height*index + height < result.rows)
{
Mat imageRoi = result(Rect(0, 0 + height*index, width, height));
addWeighted(imageRoi, 0, plate, 1, 0, imageRoi);
}
index++;*/
RotatedRect minRect = item.getPlatePos();
Point2f rect_points[4];
minRect.points( rect_points );
if(item.bColored)
{
for (int j = 0; j < 4; j++)
line(result, rect_points[j], rect_points[(j + 1) % 4], Scalar(255, 255, 0), 2, 8);
}
else
{
for( int j = 0; j < 4; j++ )
line(result, rect_points[j], rect_points[(j+1)%4], Scalar(0,0,255), 2, 8 );//sobel定位车牌，红色方框
}
}
}
}
if (showDetectArea)
showResult(result);
return resultPD;
}