I tried to change colors from an image but for unknown reasons, the changes don't apply over the entire region of the image. (I use c++ with opencv)
To test it, I tried to simply put the same color in the every pixel of the image ( (36, 81, 214) for every pixel ). For a 360 x 600 image, the color is applied to all 358 rows (because of padding - initially I tried to implement convolution transformation from scratch but this is not the point of this topic), BUT ONLY to the first 150 cols - and I don't understand why - I added final_i and final_j to test if i,j variables values reached 358, 598 values and they reached them - then why the new color is applied only to a region of the image?
Here is the code:
Mat apply_convolution_kernel(Mat img_color, int kernel[][3], int kernel_size){
int rows = img_color.rows;
int cols = img_color.cols;
Mat result = Mat(rows,cols, CV_32SC3, 0.0);
cout<<img_color.rows<< " "<<img_color.cols<<endl;
cout<<result.rows<< " "<<result.cols<<endl;
int final_i = 0;
int final_j = 0;
// apply the kernel operator
int aux_size = kernel_size / 2; // e.g for 3 x 3 kernel, we need [3/2] = 1 auxiliary padding
for(int i=aux_size;i<rows - aux_size;i++){
for(int j = aux_size;j<cols - aux_size;j++){
Vec3b & pixel_from_res = result.at<Vec3b>(i,j);
pixel_from_res[0] = 36;
pixel_from_res[1] = 81;
pixel_from_res[2] = 214;
final_i = i;
final_j = j;
}
}
cout<<"final i: "<< final_i << " final j: "<<final_j<<endl;
return result;
}
int main()
{
cout << "Start" << endl;
Mat img_color = imread("sakura.jpg", 1);
int conv_size = 3;
int conv_operator[3][3] = {
{0, 1, 0},
{1, 4, 1},
{0, 1, 0}
} ;
Mat m1 =apply_convolution_kernel(img_color, conv_operator,3);
imwrite("filter.jpg", m1);
return 0;
}
Also, the resulted image is: (just for exemplification)