Opencv 3.0.0，C ++，Visual Studio 2015 - 查找轮廓和ConvexHull时出错

时间：2015-08-22 20:22:07

标签： c++ visual-studio opencv visual-studio-2015

我正在尝试编写一个程序，可以在某个对象周围创建一个多边形（任意数量的边），并找到多边形的质心。为此，我选择使用convexhull和findContours函数。在以下程序中，您将获得两个窗口。一个窗口包含用于更改过滤器的HSV和形态值的轨道栏，另一个窗口包含过滤后的图像。过滤图像并获得二进制图像后，您必须单击“c”以查找轮廓，然后单击“h”以查找凸包。过滤图像和执行形态学操作不是问题。主要问题是找到轮廓。

#include<iostream>
#include<opencv2\highgui\highgui.hpp>
#include<opencv2\imgproc\imgproc.hpp>
#include<opencv2\core\core.hpp>
#include<opencv2\video\background_segm.hpp>
#include<Windows.h>
using namespace cv;
using namespace std;

//functions prototypes
void on_trackbar(int, void*);
void createTrackbars();
void showimgcontours(Mat &threshedimg, Mat &original);
void toggle(int key);
void morphit(Mat &img);
void blurthresh(Mat &img);

//function prototypes ends here

//boolean toggles

bool domorph = false;
bool doblurthresh = false;
bool showchangedframe = false;
bool showcontours = false;
bool showhull = false;

//boolean toggles end


int H_MIN = 0;
int H_MAX = 255;
int S_MIN = 0;
int S_MAX = 255;
int V_MIN = 0;
int V_MAX = 255;

int kerode = 1;
int kdilate = 1;
int kblur = 1;
int threshval = 0;


int main(void)
{
    createTrackbars();
    on_trackbar(0, 0);

    Mat frame, hsvframe, rangeframe;
    int key;
    VideoCapture cap(0);
    while ((key = waitKey(30)) != 27)
    {
        toggle(key);
        cap >> frame;
        flip(frame, frame, 180);
        cvtColor(frame, hsvframe, COLOR_BGR2HSV);

        inRange(hsvframe, Scalar(H_MIN, S_MIN, V_MIN), Scalar(H_MAX, S_MAX,    V_MAX), rangeframe);

        if (domorph)
            morphit(rangeframe);

        if (doblurthresh)
            blurthresh(rangeframe);

        if (showcontours)
            showimgcontours(rangeframe, frame);

        if (showchangedframe)
            imshow("Camera", frame);
        else
            imshow("Camera", rangeframe);

    }

}


void on_trackbar(int, void*)
{//This function gets called whenever a
 // trackbar position is changed
    if (kerode == 0)
        kerode = 1;
    if (kdilate == 0)
        kdilate = 1;
    if (kblur == 0)
        kblur = 1;
}
void createTrackbars()
{
    String trackbarWindowName = "TrackBars";
    namedWindow(trackbarWindowName, WINDOW_NORMAL);
    createTrackbar("H_MIN", trackbarWindowName, &H_MIN, H_MAX, on_trackbar);
    createTrackbar("H_MAX", trackbarWindowName, &H_MAX, H_MAX, on_trackbar);
    createTrackbar("S_MIN", trackbarWindowName, &S_MIN, S_MAX, on_trackbar);
    createTrackbar("S_MAX", trackbarWindowName, &S_MAX, S_MAX, on_trackbar);
    createTrackbar("V_MIN", trackbarWindowName, &V_MIN, V_MAX, on_trackbar);
    createTrackbar("V_MAX", trackbarWindowName, &V_MAX, V_MAX, on_trackbar);
    createTrackbar("Erode", trackbarWindowName, &kerode, 31, on_trackbar);
    createTrackbar("Dilate", trackbarWindowName, &kdilate, 31, on_trackbar);
    createTrackbar("Blur", trackbarWindowName, &kblur, 255, on_trackbar);
    createTrackbar("Thresh", trackbarWindowName, &threshval, 255,    on_trackbar);

}

void morphit(Mat &img)
{
    erode(img, img, getStructuringElement(MORPH_RECT, Size(kerode, kerode)));
    dilate(img, img, getStructuringElement(MORPH_RECT, Size(kdilate, kdilate)));
}
void blurthresh(Mat &img)
{
    //medianBlur(img,img,kblur%2+3+kblur);
    blur(img, img, Size(kblur, kblur), Point(-1, -1), BORDER_DEFAULT);
    threshold(img, img, threshval, 255, THRESH_BINARY_INV);
}
void toggle(int key)
{

    //toggle line start
    if (key == 'm')
        domorph = !domorph;
    if (key == 'b')
        doblurthresh = !doblurthresh;
    if (key == 'r')
        showchangedframe = !showchangedframe;
    if (key == 'c')
        showcontours = !showcontours;
    if (key == 'h')
        showhull = !showhull;
    //toggle line end
}

void showimgcontours(Mat &threshedimg, Mat &original)
{
    vector<vector<Point> > contours;
    vector<Vec4i> hierarchy;
    int largest_area = 0;
    int largest_contour_index = 0;

    findContours(threshedimg, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE);

    vector<vector<Point> >hull(contours.size());

    //find a hull for each contour
    for (int i = 0; i < contours.size(); i++)
    {
        convexHull(Mat(contours[i]), hull[i], false);
    }

    //this will find the largest contour
    for (int i = 0; i< contours.size(); i++) // iterate through each contour. 
    {
        double a = contourArea(contours[i], false);  //  Find the area of each contour
        if (a>largest_area)
        {
            largest_area = a;
            largest_contour_index = i;                //Store the index of   the largest contour
        }

    }
    //search for the largest contour has end

    if (contours.size() > 0)
    {
        drawContours(original, contours, largest_contour_index, CV_RGB(0, 255, 0), 2, 8, hierarchy);
        //if you want to show every contour, use the following
        //drawContours(original,-1, CV_RGB(0, 255, 0), 2, 8, hierarchy);
        if (showhull)
            drawContours(original, hull, largest_contour_index, CV_RGB(0, 0, 255), 2, 8, hierarchy);
        //if you want to show every hull(s), use the following
        //drawContours(original,-1, CV_RGB(0, 255, 0), 2, 8, hierarchy);
    }
}

问题是每当我尝试运行findcontours（）函数时，它总是在向量类模板（void Tidy()中的某个地方）触发断点。弹出一个对话框并显示以下消息：

“ConsoleApplication2.exe中0x00007FF9374CD328（ucrtbase.dll）处的未处理异常：将无效参数传递给认为无效参数致命的函数。”

http://i60.tinypic.com/1zvdf1t.png

然后对话框将我重定向到矢量类模板，并在下一段的第7行显示断点。

void _Tidy()
    {   // free all storage
    if (this->_Myfirst() != pointer())
        {   // something to free, destroy and deallocate it
        this->_Orphan_all();
        _Destroy(this->_Myfirst(), this->_Mylast());
        this->_Getal().deallocate(this->_Myfirst(),
            this->_Myend() - this->_Myfirst());
        this->_Myfirst() = pointer();
        this->_Mylast() = pointer();
        this->_Myend() = pointer();
        }
    }

http://i61.tinypic.com/2yx0p37.png

这是findContours函数或矢量类的问题还是完全不同的？

3 个答案:

答案 0 :(得分：5)

这可能是一个简单的链接问题。

如果您正在调试模式下进行编译，则链接器需要输入变量opencv_world310d.lib而不是opencv_world310.lib（注意点之前的d）。

只有在编译发布模式时，您才需要输入opencv_world310.lib。

我遇到了同样的问题。花费我一天的时间来搞清楚。

答案 1 :(得分：0)

我有同样的情况。 （opencv 3.0） 我试过这个，然后findcontours（）效果很好。

我想，你已经输入了如下信息。 链接器 - ＆gt;输入（입력） - ＆gt;附加依赖

opencv_world300d.lib opencv_world300.lib opencv_ts300d.lib opencv_ts300.lib

没有编辑过的库，我只是对齐它（300d.lib - ＆gt; 300.lib） 并申请！它运作良好！

答案 2 :(得分：0)

根据这个： Returning from function crashing, only after a certain point in the code

和我自己的经验（不幸的是）在vs 2013而不是2015年编译程序或只是将平台工具集更改为（v120）足以让我修复错误

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