Error with ROI OpenCV

I am trying to create a program that will identify the pattern by traversing the ROI over the image and comparing the ROI to the pattern, it will compare the pixel values โ€‹โ€‹of the ROI and the pattern and increment the counter by 1 every time there are pixel matches, then I compare the counter with the threshold if it passes rectangle, will be drawn, if not, it will keep sliding over the image, if I run the debugger on it, it doesn't detect errors sliding over the image, but if I run it then it throws the following exception:

OpenCV Error: Assertion failed (0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows) in Mat, file /home/abuild/rpmbuild/BUILD/opencv-2.4.6.1/modules/core/src/matrix.cpp, line 323
terminate called after throwing an instance of 'cv::Exception'
what():  /home/abuild/rpmbuild/BUILD/opencv-2.4.6.1/modules/core/src/matrix.cpp:323: error: (-215) 0 <= roi.x && 0 <= roi.width && roi.x + roi.width <= m.cols && 0 <= roi.y && 0 <= roi.height && roi.y + roi.height <= m.rows in function Mat

      

I am leaving the code below:

#include <stdio.h>
#include <stdlib.h>
#include <iostream>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>


using namespace std;
using namespace cv;

Mat         iOrig;                          //imagen que se analizara
Mat         patron;                         //patron buscado
Point       corner1,corner2;                //esquinas del ROI
bool        tresholdpass;                   //boolean returned by comparar()
Rect        box;                            //rectangulo usado para crear el ROI
float       porcentaje;                     //distancia a recorrer que sera dada por el tamano de la imagen muestra para el patron
float       treshold;                       //treshold que debera ser superado para que se considere similar o igual al patron
float       valpx;                          //valor almacenado en el pixel comparado
float       contTreshold;                   //contador a comparar contra el porcentaje requerido para considerarse como patron encontrado
float       totpxpat;                       //cantidad de pixeles de la imagen muestra del patron
float       porctreshold;                   //porcentaje representativo para considerar que se encontro el patron en esa ROI

bool comparar(Mat region, Mat patron){

    int i=0;
    int j=0;
    contTreshold=0;

    for (i=0;i<patron.cols;i++){
        for (j=0;j<patron.rows;j++){
            Point a(i,j);
            if(abs(region.at<float>(a))==abs(patron.at<float>(a))){
            //se compara el contenido de el ROI y el patron en un punto
                contTreshold++;             //en caso de ser cierto, el contador aumenta en 1
            }
        }

    }
    totpxpat = patron.rows*patron.cols;     //se cuentan la cantidad de pixeles dado columnas*renglones
    porctreshold = 0.8;                     //el porcentaje que se usara para el treshold
    treshold = totpxpat * porctreshold;     //el treshold que determinara si se cumple el porcentaje de la imagen
                                        //para saber si cumple el patron o no, en caso de q se supere, retornara verdadero
                                        //en caso de que no se supere retornara falso y se elegira otro ROI para analizar
    if (contTreshold>treshold){
        return true;
    }else{
        return false;
    }
}

int main() {

    namedWindow("imagen");
    namedWindow("segmento");

    iOrig = imread( "/home/diego/Downloads/figuras.jpg",CV_LOAD_IMAGE_GRAYSCALE );
    patron = imread("/home/diego/Downloads/patron.jpg",CV_LOAD_IMAGE_GRAYSCALE);

    imshow("imagen",iOrig);
    imshow("segmento",patron);
    corner1.x = 1;
    corner1.y = 1;
    corner2.x = patron.cols;
    corner2.y = patron.rows;


    porcentaje = (int)patron.cols * 0.05;

    while (corner2.x<iOrig.rows-(patron.rows*2)){
        while(corner2.y<iOrig.cols-(patron.cols*2)){
            box.width = abs (corner1.x-corner2.x)+1;
            box.height = abs (corner1.y - corner2.y)+1;
            box.x = min(corner1.x, corner2.x);
            box.y = min(corner1.y, corner2.y);


        //se crea una imagen de la region de interes seleccionada apartir de las 2 esquinas de la ROI
            Mat     region(iOrig,box);              //region de interes que sera comparada

        //se manda a comparar el ROI con el patron
            tresholdpass=comparar(region,patron);
            if (tresholdpass == true){
                Mat local_img = iOrig.clone();
                rectangle(local_img,corner1,corner2,Scalar(0,0,255));
                imshow("imagen",local_img);

            }
            corner1.x+=porcentaje;
            corner2.x+=porcentaje;
        }
        corner1.y+=porcentaje;
        corner2.y+=porcentaje;
    }

    while (char(waitKey(1))!= 'q'){}
    return 0;
}

      

I cant load images im using due to reputation ... but original image is 800 x 450 and template, search in image is 131 x 132

Sorry that the comments in my code are in Spanish, English is not my native language, you guessed it, I really don't know where my mistake is, but ... I hope this is just thanks in advance

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1 answer


This means that you are trying to get the ROI from the image plane. You need to make sure the ROI is inside the image plane to avoid crashing.

In your case, you can do the following:



// check the box within the image plane
if (0 <= box.x
    && 0 <= box.width
    && box.x + box.width <= iOrig.cols
    && 0 <= box.y
    && 0 <= box.height
    && box.y + box.height <= iOrig.rows){
    // box within the image plane
    Mat region(iOrig, box);
}
else{
    // box out of image plane, do something...
}

      

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