isas/test/XuAilibTest/LineHandle.cpp

#include "LineHandle.h"
#include <iostream>
#include <SegDetector.h>
#include <NanoDetector.h>
#include <opencv2\imgproc\types_c.h>
#include<opencv2/imgproc/imgproc_c.h>
using namespace cv;

void LineHandle::crossPointsOfLines(cv::Vec4i lineA, cv::Vec4i lineB,cv::Point2f& crossPoints)
{
    float ka = (float)(lineA[3]- lineA[1]) / float(lineA[2] - lineA[0]);//slope of LineA 
    float kb = (float)(lineB[3] - lineB[1]) / float(lineB[2]- lineB[0]);;//slope of LineB
    crossPoints.x = float(ka * lineA[0] - lineA[1] - kb * lineB[0] + lineB[1]) / float(ka - kb);
    crossPoints.y = float(ka * kb * (lineA[0] - lineB[1]) - kb * lineA[1] + ka * lineB[1]) / float(ka - kb);

}
 bool LineHandle::comp(const Point2f& a, const Point2f& b)
{
    return a.y < b.y;
}
long LineHandle::CalcMatSum( Mat img) {
    //Mat MatTemp2;
    //img.convertTo(MatTemp2, CV_8U);
    //cv::Mat_<cv::Vec3b>::iterator it = MatTemp2.begin<cv::Vec3b>();    //由于利用图像迭代器处理图像像素，因此返回类型必须在编译时知道
    //cv::Mat_<cv::Vec3b>::iterator itend = MatTemp2.end<cv::Vec3b>();
    //long sum = 0;
    //for (; it != itend; ++it)
    //{
    //    (*it)[0] = (*it)[0];
    //    sum += (*it)[0];
    //}
    //return sum;
    int channel = img.channels();
    long sum = 0;
    int w = img.cols;
    int h = img.rows;
    //uchar* uc_pixel = nullptr;
    for (int row = 0; row < h; row++) {
        uchar* uc_pixel = img.data + row * img.step;
        int size = sizeof(uc_pixel);
        for (int col = 0; col < w; col++) {
            /*uc_pixel[0];*/
            sum += uc_pixel[0];
            uc_pixel += channel;
        }
        //delete uc_pixel;

    }
    //uc_pixel = nullptr;// uc_pixel;
    return sum;
}
bool LineHandle::ComparePairFirst(std::pair<int, int> a, std::pair<int, int> b) 
{
    return a.first < b.first;//对于first的升序
}
bool LineHandle::ComparePairSecond(std::pair<int, int>a, std::pair<int, int> b)
{
    return a.second < b.second;//对于second的升序
}
double getDistance(CvPoint pointO, CvPoint pointA)

{

    double distance;

    distance = powf((pointO.x - pointA.x), 2) + powf((pointO.y - pointA.y), 2);

    distance = sqrtf(distance);



    return distance;

}