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#include <iostream>
#include <cstdlib>
#include <sstream>
#include <fstream>
#include <opencv/cv.h>
#include <opencv/highgui.h>
#define round(x)((int)((x)+0.5))
#define array(i,j,k,l) (array[height*width*i + width*j + k + l])
int nImages;
unsigned long height = 0;
unsigned long width = 0;
int findmax(long *p, int n) {
int mx = 0, v = p[0];
for (int i = 1; i < n; i++) {
if (p[i] > v) {
v = p[i];
mx = i;
}
}
return mx;
}
using namespace std;
using namespace cv;
int main(int argc, char **argv ) {
string usage = "derive-background -i <input-list> -o <output-filename>";
string output_file;
string inputFileName;
int c;
while ((c = getopt (argc, argv, "i:o:h")) != -1)
switch (c) {
case 'i':
inputFileName = optarg;
break;
case 'o':
output_file = optarg;
break;
case 'h':
cout << usage << endl;
exit(EXIT_FAILURE);
break;
default:
break;
}
if( inputFileName.empty() || output_file.empty() ) {
cout << usage << endl;
exit(EXIT_FAILURE);
}
// Okay Declare all our working variables here.
IplImage *first_image = NULL;
IplImage *output_image = NULL;
int i,j, k;
int height = 0;
int width = 0;
string filename;
// open first image in input_file to deterimine the height and width
ifstream input_file(inputFileName.c_str());
if (input_file.fail() ) {
cerr << "cannot open the input file that contains name of the input images\n";
exit(EXIT_FAILURE);
}
// Read first line for our first image and rewind
input_file>>filename;
first_image = cvLoadImage(filename.c_str(), CV_LOAD_IMAGE_UNCHANGED);
if(!first_image) {
cerr << "couldn't read first image" << endl;
exit(1);
}
height = first_image->height;
width = first_image->width;
cvReleaseImage(&first_image);
if (height == 0 || width == 0) {
cerr << "height or width = 0!" << endl;
exit(1);
}
cout << "height: " << height << " width: " << width << endl;
// count number of images we have in the file
input_file.clear();
input_file.seekg(0);
while(input_file>>filename) {
nImages++;
}
cout << "number of images: " << nImages << endl;
// initialize the storage arrays
long *array = (long *)malloc(height*width*256*3*sizeof(long));
if(array == NULL) {
cerr << "could not allocate the proper memory, sorry!" << endl;
exit(EXIT_FAILURE);
}
input_file.clear();
input_file.seekg(0);
while (input_file>>filename) {
IplImage *input_image = NULL;
input_image = cvLoadImage(filename.c_str(), CV_LOAD_IMAGE_UNCHANGED);
cout << "reading: " << filename << endl;
for (i=0; i<height; i++) {
for (j=0; j<width; j++) {
CvScalar s;
s = cvGet2D(input_image, i, j);
int r = s.val[2];
int g = s.val[1];
int b = s.val[0];
array(r,i,j,0) += 1;
array(g,i,j,1) += 1;
array(b,i,j,2) += 1;
}
}
cvReleaseImage(&input_image);
}
// calculate histograms
output_image = cvCreateImage(cvSize(width,height),IPL_DEPTH_32F,3);
for (j = 0; j < height; j++) {
for (k = 0; k < width; k++) {
CvScalar s;
long red_histogram[255] = { 0 };
long blue_histogram[255] = { 0 };
long green_histogram[255] = { 0 };
for (i = 0; i < 256; i++) {
red_histogram[i] += array(i,j,k,0);
green_histogram[i] += array(i,j,k,1);
blue_histogram[i] += array(i,j,k,2);
}
int red_val = findmax(red_histogram, 255);
int blue_val = findmax(blue_histogram, 255);
int green_val = findmax(green_histogram, 255);
s.val[2] = red_val;
s.val[1] = blue_val;
s.val[0] = green_val;
cvSet2D(output_image, j, k, s);
}
}
if(!cvSaveImage(output_file.c_str(), output_image)) {
cerr << "Could not save "<< output_file << endl;
exit(EXIT_FAILURE);
}
return EXIT_SUCCESS;
}
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