#ifndef COUTLINEDETECTOR_H
#define COUTLINEDETECTOR_H
//轮廓线识别
#include <opencv2\opencv.hpp>
#include <QImage>
#include <vector>
using namespace cv;
using std::vector;
class GSurface;
class COutlineDetector
{
public:
    COutlineDetector();
    void clear(void);

    void setSurface(GSurface* pSurf, float zlower = 0, float zupper = 0, unsigned int nIters = 1);
    //膨胀迭代次数
    void setIterations(unsigned int nIterations);
    //设置目标区域z值范围
    void setTargetZRange(float zlower, float zupper);
    //设置最小轮廓线面积
    void setContourMinArea(float area);
    //设置输出轮廓线平滑次数
    void setContourSmoothTimes(unsigned int times);


    //执行图像处理，生成初始轮廓线,并进行光滑
    bool ProcessImage(void);

    ////输出轮廓线
    //bool WriteContours(const char* path);

    ////合并轮廓线，需先进行图像处理
    //void CombineContours(std::vector<cv::Point2f>& dstContour);


	//生成沉积相轮廓线,局部合并内部包含孔洞的轮廓线
	int CreateFaciesContours(void);



    //输出轮廓线
    bool WriteContours( std::vector<std::vector<cv::Point>>& contous, const char* path);
    //输出轮廓线
    bool WriteContours( std::vector<std::vector<cv::Point2f>>& contous, const char* path);
    Mat& getResultMat(); //返回结果图片

    //曲面转换成mat 黑白图
    static void convertSurfaceToMat(GSurface* pSrcSurf, float zlower, float zupper, Mat& dstMat);
    //mat 转换为 surface
     static bool convertMatToSurface(Mat& srcMat, float x0, float y0, float deltX, float deltY, GSurface* pDstSurf);

    //Mat 转换为QImage
    static bool ConvertMatToQImage(cv::Mat& src, QImage& dst, QImage::Format format = QImage::Format_ARGB32_Premultiplied);
    //QImage转换为Mat
    static bool ConvertQImageToMat(const QImage &image, cv::Mat& mat);
    //五点三次平滑
    static bool Smooth53(double* val, int n, int stimes=1);
	//图片中轮廓线转换为曲面坐标 dstContour, smoothTimes转换后为平滑次数
	void multiContourToRealCoords(const std::vector< std::vector<cv::Point2f> >& inputContour, std::vector< std::vector<cv::Point2f> > & dstContour, int smoothTimes);

    //五点三次平滑
    void SmoothContours();
	//获取初始轮廓线
	std::vector<std::vector<cv::Point2f>>& GetOriginalContours(void);
	//获取沉积相轮廓线
	std::vector<std::vector<cv::Point2f>>& GetFaciesContours(void);
private:

    void morphologySolve(void);
    //由matMorp生成轮廓线
    void createContours(void);
    //面积过滤输出等值线，不符合条件的剔除
    void FilterContours(float minArea, std::vector<std::vector<cv::Point2f>>& ReservedContours);

  
    //图片中轮廓线转换为曲面坐标 dstContour, smoothTimes转换后为平滑次数
    void contourToRealCoords(const std::vector<cv::Point2f>& inputContour, std::vector<cv::Point2f>& dstContour, int smoothTimes);

    //平滑轮廓线
    void SmoothContour( std::vector<cv::Point2f>& inputContour, int nTimes);
    //平滑跟轮廓线,可能部分在边界上
    void SmoothRootContour(std::vector<cv::Point2f>& inputContour, int nTimes);
    //点是否在边界线上
    bool isPtOnBorder(const Point &pt);



    //生成边界轮廓线
    void TraceBorder(void);

    GSurface* m_pSurface;
    Mat m_matSrc;  //原始图片（黑白图)
    Mat m_matMorp; // 形态学处理后的图片
    Mat m_matBorder; //用来追踪边界轮廓的黑白图

    int m_nIterations;
    float m_zlower;
    float m_zupper;
    double m_minArea;
    int m_smoothTimes;
	//图像处理后 生成的初始轮廓线
    std::vector<std::vector<cv::Point2f>> m_originalContours;
    std::vector<cv::Vec4i> m_hierarchy;
	std::vector<std::vector<cv::Point2f>> m_faciesContours;
    std::vector<cv::Point2f> m_border;


};

#endif // COUTLINEDETECTOR_H