Opencv.exe 中 0x00007FFFB9423B29 处的未处理异常：Microsoft C++ 异常：cv::Exception at memory location

编程问答 2022-05-14

问题描述

#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
#include <iostream>

using namespace cv;
using namespace std;



Mat imgOriginal,imgDilate,imgCanny,imgGray,imgBlur,imgWrap,imgCrop,imgScan;
vector<Point> initialPoints,docPoints;

float w = 590,h = 360;

Mat preProcessing(Mat img)
{
    cvtColor(img,COLOR_BGR2GRAY);
    GaussianBlur(imgGray,Size(3,3),3,0);
    Canny(imgBlur,25,75);
    Mat kernel = getStructuringElement(MORPH_RECT,3));
    dilate(imgCanny,kernel);
    return imgDilate;
}

vector<Point> getContours(Mat image)
{
    vector< vector<Point >> contours;
    vector<Vec4i> hierarchy;

    findContours(image,contours,hierarchy,RETR_EXTERNAL,CHAIN_APPROX_SIMPLE);

    vector<vector<Point >> conpoly(contours.size());
    vector<Rect> boundRect(contours.size());

    vector<Point> biggest;
    int maxArea = 0;

    for (int i = 0; i < contours.size(); i++)
    {
        int area = contourArea(contours[i]);
        cout << area << endl;

    
        if (area > 1000)
        {
            float peri = arcLength(contours[i],true);
            approxpolyDP(contours[i],conpoly[i],0.02 * peri,true);

            if (area > maxArea && conpoly[i].size() == 4)
            {
                //drawContours(imgOriginal,conpoly,i,Scalar(255,255),5);
                biggest = { conpoly[i][0],conpoly[i][1],conpoly[i][2],conpoly[i][3] };
                maxArea = area;
            }   
            
        }
    }
    return biggest;
}
void drawPoints(vector<Point> points,Scalar color)
{
    for (int i = 0; i < points.size(); i++)
    {
        circle(imgOriginal,points[i],10,color,FILLED);
        putText(imgOriginal,to_string(i),FONT_HERShey_PLAIN,2,2);
    }
}

vector<Point> reorder(vector<Point> points)
{
    vector<Point> newPoints;
    vector<int> sumPoints,subPoints;

    for (int i = 0; i < 4; i++)
    {
        sumPoints.push_back(points[i].x + points[i].y);
        subPoints.push_back(points[i].x - points[i].y);
    }
    newPoints.push_back(points[min_element(sumPoints.begin(),sumPoints.end()) - sumPoints.begin()]); // 0
    newPoints.push_back(points[max_element(subPoints.begin(),subPoints.end()) - subPoints.begin()]); // 1
    newPoints.push_back(points[min_element(subPoints.begin(),subPoints.end()) - subPoints.begin()]); // 2
    newPoints.push_back(points[max_element(sumPoints.begin(),sumPoints.end()) - sumPoints.begin()]); // 3

    return newPoints;
    
}

Mat getWarp(Mat img,vector<Point> points,float w,float h)
{
    Point2f src[4] = { points[0],points[1],points[2],points[3] };
    Point2f des[4] = { {0.0f,0.0f },{w,{0.0f,h },h} };

    Mat matrix = getPerspectiveTransform(src,des);
    warpPerspective(img,matrix,Point(w,h));

    return imgWrap;

}

此时出现错误 在adaptiveThreshold 错误 ： Opencv.exe 中 0x00007FFFB9423B29 处未处理的异常：Microsoft C++ 异常：内存位置的 cv::Exception

Mat Scanner(Mat img)
{
    adaptiveThreshold(img,imgScan,255,ADAPTIVE_THRESH_MEAN_C,THRESH_BINARY,11); //Error 
    return imgScan;
}

仅此 ^^^^^ 部分代码出错

其余代码仅在adaptiveThreshold 中发生错误

int main()
{
    string path = "resource/document5.jpg";
    imgOriginal = imread(path);
    resize(imgOriginal,imgOriginal,Size(1080,720));

    //image processing 
    imgDilate = preProcessing(imgOriginal);

    //Get contours
    initialPoints = getContours(imgDilate);

    //draw points
    docPoints = reorder(initialPoints);
    //drawPoints(docPoints,Scalar(0,0));
    //drawPoints(initialPoints,255));
    imgWrap = getWarp(imgOriginal,docPoints,w,h);
    

    //Crop
    Rect roi(5,5,w - (2 * 5),h - (2 * 5));
    imgCrop = imgWrap(roi);

    //scan
    Scanner(imgCrop);

    imshow("imgOrignal contours",imgOriginal);
    imshow("imgDilate",imgDilate);
    imshow("imgWrap",imgWrap);
    imshow("imgCrop",imgCrop);
    imshow("imgScan",imgScan);

    waitKey(0);
    return 0;
}

在扫描仪部分我使用了adaptiveThreshold但它显示错误 Opencv.exe 中 0x00007FFFB9423B29 处未处理的异常：Microsoft C++ 异常：内存位置的 cv::Exception

解决方法

您必须将输入图像转换为灰色才能使用自适应阈值 用cvtcolor来做

adaptive-thresholdc++opencv