why the code below is not running Can you please fix it #inc.pdf
1. why the code below is not running? Can you please fix it?
#include
#include
#include
using namespace std;
// Define the size of the images
const int M = 6;
const int N = 6;
// Define a function to compute the joint entropy given a co-occurrence matrix
double computeJointEntropy(vector>& coocMatrix) {
double jointEntropy = 0.0;
double sum = 0.0;
for (int k = 0; k < 2; k++) {
for (int l = 0; l < 2; l++) {
double pkl = coocMatrix[k][l];
if (pkl > 0) {
jointEntropy -= pkl * log2(pkl);
sum += pkl;
}
}
}
if (sum < 1.0) {
jointEntropy = 1.0;
}
return jointEntropy;
}
// Define a function to compute the similarity measure given a joint entropy value
double computeSimilarity(double jointEntropy, double maxJointEntropy) {
return 1.0 - jointEntropy / maxJointEntropy;
}
int main() {
// Define the reference image A
int A[M][N] = {
3. #define M 6 // number of rows
#define N 6 // number of columns
#define NUM_IMAGES 10 // number of images in database
using namespace std;
int main() {
// Load reference image A and database images B(s)
// TODO: implement reading images from Excel file
// Initialize co-occurrence matrix C
int C[2][2] = {0};
// Compute co-occurrence matrix for reference image A
for (int i = 0; i < M; i++) {
for (int j = 0; j < N; j++) {
int K = /* TODO: compute intensity value of pixel (i,j) in image A */;
int L = /* TODO: compute intensity value of pixel (i,j) in image B(s) */;
C[K][L]++;
}
}
// Compute co-occurrence probability matrix P
double P[2][2] = {0};
for (int i = 0; i < 2; i++) {
for (int j = 0; j < 2; j++) {
P[i][j] = (double) C[i][j] / (M * N);
}
}
// Convert P to 1-D array and compute co-occurrence entropies H(s)
double H[NUM_IMAGES] = {0};
for (int s = 0; s < NUM_IMAGES; s++) {
// TODO: compute co-occurrence probability matrix for image B(s)
// TODO: convert P to 1-D array
for (int i = 0; i < 4; i++) {
double p = /* TODO: get i-th element of P 1-D array */;
if (p > 0) {
H[s] -= p * log2(p);
}
}
4. }
// Compute similarity measures rho(s)
double rho[NUM_IMAGES] = {0};
double max_H = *max_element(H, H + NUM_IMAGES);
for (int s = 0; s < NUM_IMAGES; s++) {
rho[s] = 1 - H[s] / max_H;
}
// Find index s_max of image B(s) that is most similar to reference image A
double max_rho = -1;
int s_max = -1;
for (int s = 0; s < NUM_IMAGES; s++) {
if (rho[s] > max_rho) {
max_rho = rho[s];
s_max = s;
}
}
// Output results
cout << "Co-occurrence probability matrix for a sample image from the database:" << endl;
// TODO: output P for a sample image
cout << "Co-occurrence entropies for the database images:" << endl;
for (int s = 0; s < NUM_IMAGES; s++) {
cout << "H(" << s << ") = " << H[s] << endl;
}
cout << "Similarity measures for the reference image with the database images:" << endl
Each image consists of 6 rows. Each row has 6 pixels {0,1}. See example on sheet 2
![why the code below is not running? Can you please fix it?
#include
#include
#include
using namespace std;
// Define the size of the images
const int M = 6;
const int N = 6;
// Define a function to compute the joint entropy given a co-occurrence matrix
double computeJointEntropy(vector>& coocMatrix) {
double jointEntropy = 0.0;
double sum = 0.0;
for (int k = 0; k < 2; k++) {
for (int l = 0; l < 2; l++) {
double pkl = coocMatrix[k][l];
if (pkl > 0) {
jointEntropy -= pkl * log2(pkl);
sum += pkl;
}
}
}
if (sum < 1.0) {
jointEntropy = 1.0;
}
return jointEntropy;
}
// Define a function to compute the similarity measure given a joint entropy value
double computeSimilarity(double jointEntropy, double maxJointEntropy) {
return 1.0 - jointEntropy / maxJointEntropy;
}
int main() {
// Define the reference image A
int A[M][N] = {](https://image.slidesharecdn.com/whythecodebelowisnotrunningcanyoupleasefixitinc-230401111124-ac82e14d/85/why-the-code-below-is-not-running-Can-you-please-fix-it-inc-pdf-1-320.jpg)
![{1, 1, 1, 0, 0, 0},
{1, 1, 1, 0, 0, 0},
{1, 1, 1, 0, 0, 0},
{0, 0, 0, 1, 1, 1},
{0, 0, 0, 1, 1, 1},
{0, 0, 0, 1, 1, 1}
};
// Define the database of binary images B
int B[10][M][N] = {
// Image 0
{
{1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1},
{1, 1, 1, 1, 1, 1}
},
// Image 1
{
{0, 1, 1, 0, 0, 0},
{0, 1, 1, 0, 0, 0},
{0, 1, 1, 0, 0, 0},
{0, 0, 0, 1, 1, 0},
{0, 0, 0, 1, 1, 0},
{0, 0, 0, 1, 1, 0}
},
// Image 2
{
{1, 1, 0, 0, 0, 1},
{1, 1, 0, 0, 0, 1},
{1, 1, 0, 0, 0, 1},
{0, 0, 1, 1, 1, 0},
{0, 0, 1, 1, 1, 0},
#include
#include](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)