OpenCV项目(21)|mser车牌识别

struct MSERParams
{
    MSERParams(int _delta = 5, int _min_area = 60, int _max_area = 14400,
               double _max_variation = 0.25, double _min_diversity = .2,
               int _max_evolution = 200, double _area_threshold = 1.01,
               double _min_margin = 0.003, int _edge_blur_size = 5)
    {
        delta = _delta;
        minArea = _min_area;
        maxArea = _max_area;
        maxVariation = _max_variation;
        minDiversity = _min_diversity;
        maxEvolution = _max_evolution;
        areaThreshold = _area_threshold;
        minMargin = _min_margin;
        edgeBlurSize = _edge_blur_size;
        pass2Only = false;
    }

    int delta;
    int minArea;
    int maxArea;
    double maxVariation;
    double minDiversity;
    bool pass2Only;

    int maxEvolution;
    double areaThreshold;
    double minMargin;
    int edgeBlurSize;
};

static String Legende(const MSERParams &pAct)
{
    ostringstream ss;
    ss << "Area[" << pAct.minArea << "," << pAct.maxArea << "] ";
    ss << "del. [" << pAct.delta << "] ";
    ss << "var. [" << pAct.maxVariation << "] ";
    ss << "div. [" << (int)pAct.minDiversity << "] ";
    ss << "pas. [" << (int)pAct.pass2Only << "] ";
    ss << "RGb->evo. [" << pAct.maxEvolution << "] ";
    ss << "are. [" << (int)pAct.areaThreshold << "] ";
    ss << "mar. [" << (int)pAct.minMargin << "] ";
    ss << "siz. [" << pAct.edgeBlurSize << "]";

    return ss.str();
}

 Mat imgOrig, img;
    Size blurSize(5, 5);
    cv::CommandLineParser parser(argc, argv, "{ help h | | }{ @input | | }");
    if (parser.has("help"))
    {
        return 0;
    }

    string input = parser.get<string>("@input");
    if (!input.empty())
    {
        imgOrig = imread(input, IMREAD_GRAYSCALE);
        blur(imgOrig, img, blurSize);
    }
 
    //mser参数定义
    vector<String> typeDesc;
    vector<MSERParams> pMSER;
    //创建mser对象
    MSERParams params;
    params.delta = 10;
    params.minArea = 100;
    params.maxArea = 5000;
    params.maxVariation = 2;
    params.minDiversity = 0;
    params.pass2Only = true;

    typeDesc.push_back("MSER");
    pMSER.push_back(params);

    params.pass2Only = false;
    typeDesc.push_back("MSER");
    pMSER.push_back(params);

    params.delta = 100;
    typeDesc.push_back("MSER");
    pMSER.push_back(params);

vector<MSERParams>::iterator itMSER = pMSER.begin();
    Ptr<Feature2D> b;
    String label;
    vector<String>::iterator itDesc;
    Mat result(img.rows, img.cols, CV_8UC3);
    for (itDesc = typeDesc.begin(); itDesc != typeDesc.end(); ++itDesc)
    {
        if (*itDesc == "MSER")
        {
            if (img.type() == CV_8UC3)
            {
                b = MSER::create(itMSER->delta, itMSER->minArea, itMSER->maxArea, itMSER->maxVariation, itMSER->minDiversity, itMSER->maxEvolution,
                                 itMSER->areaThreshold, itMSER->minMargin, itMSER->edgeBlurSize);
                label = Legende(*itMSER);
                ++itMSER;
            }
            else
            {
                b = MSER::create(itMSER->delta, itMSER->minArea, itMSER->maxArea, itMSER->maxVariation, itMSER->minDiversity);
                b.dynamicCast<MSER>()->setPass2Only(itMSER->pass2Only);
                label = Legende(*itMSER);
                ++itMSER;
            }
        }

        if (img.type()==CV_8UC3)
        {
            img.copyTo(result);
        }
        else
        {
            vector<Mat> plan;
            plan.push_back(img);
            plan.push_back(img);
            plan.push_back(img);
            merge(plan,result);
        }
        try
        {
            vector<KeyPoint> keyImg;
            vector<Rect> zone;
            vector<vector <Point> > region;
            Mat desc;

            if (b.dynamicCast<MSER>().get())
            {
                Ptr<MSER> sbd = b.dynamicCast<MSER>();
                //检测Region
                sbd->detectRegions(img, region, zone);
                int nbPixelInMSER=0;
                for (vector<vector <Point> >::iterator itr = region.begin(); itr != region.end(); ++itr)
                {   //根据检测区域点生成mser+结果
                    for (vector <Point>::iterator itp = itr->begin(); itp != itr->end(); ++itp)
                    {
                        // mser找到的区域涂蓝色
                        result.at<Vec3b>(itp->y, itp->x) = Vec3b(128, 0, 0);
                        nbPixelInMSER++;
                    }
                }
                cout << "Number of MSER region: " << region.size() << "; Number of pixels in all MSER region: " << nbPixelInMSER << "\n";
            }

            const string winName = *itDesc + label;
            namedWindow(winName, WINDOW_AUTOSIZE);
            imshow(winName, result);
            imshow("Original", img);
        }
        catch (const Exception& e)
        {
            cout << "Feature: " << *itDesc << "\n";
            cout << e.msg << endl;
        }
        waitKey();
    }