Opencv.exe 中 0x00007FFFB9423B29 处的未处理异常：Microsoft C++ 异常：内存位置 cv::Exception

Question

#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, imgGray, COLOR_BGR2GRAY);
    GaussianBlur(imgGray, imgBlur, Size(3, 3), 3, 0);
    Canny(imgBlur, imgCanny, 25, 75);
    Mat kernel = getStructuringElement(MORPH_RECT, Size(3, 3));
    dilate(imgCanny, imgDilate, 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, 0, 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), points[i], FONT_HERSHEY_PLAIN, 2, color, 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 },{0.0f,h },{w,h} };

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

    return imgWrap;

}

此时出现错误 在adaptiveThreshold 错误： Opencv.exe 中 0x00007FFFB9423B29 处的未处理异常：Microsoft C++ 异常：内存位置 cv::Exception

Mat Scanner(Mat img)
{
    adaptiveThreshold(img, imgScan, 255, ADAPTIVE_THRESH_MEAN_C, THRESH_BINARY, 3, 11); //Error 
    return imgScan;
}

只有这^^^^^部分代码出错

其余代码仅在 adaptiveThreshold 中出现错误

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, 255, 0));
    //drawPoints(initialPoints, Scalar(0, 0, 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;
}

在扫描器部分我使用了 adaptiveThreshold 但它显示错误 Opencv.exe 中 0x00007FFFB9423B29 处的未处理异常：Microsoft C++ 异常：内存位置 cv::Exception

Answer 1

您必须将输入图像转换为灰色才能使用自适应阈值使用cvtcolor来做

Opencv.exe 中 0x00007FFFB9423B29 处的未处理异常：Microsoft C++ 异常：内存位置 cv::Exception

Unhandled exception at 0x00007FFFB9423B29 in Opencv.exe: Microsoft C++ exception: cv::Exception at memory location

c++

opencv

adaptive-threshold