gvsu/cs677/pa3/edge-detect.cc
josh c645f00b93 added some comments
git-svn-id: svn://anubis/gvsu@208 45c1a28c-8058-47b2-ae61-ca45b979098e
2008-10-25 21:55:23 +00:00

151 lines
5.1 KiB
C++

#include <sys/time.h> /* gettimeofday() */
#include <omp.h>
#include <iostream>
#include <string.h>
#include <stdlib.h>
#include "BMP.h"
using namespace std;
void usage(const char * progName);
void squashAndPadData(unsigned char * raw_data, unsigned char * padded_data,
int width, int height);
void applyEdgeDetection(unsigned char * padded_data, unsigned char * edge_data,
int width, int height, int threshold);
/**************************************************************************
* Print some basic usage information for the program *
*************************************************************************/
void usage(const char * progName)
{
cout << "Usage: " << progName << " [options] <input-BMP-file>" << endl;
cout << " Options:" << endl;
cout << " -l level : apply threshold at level" << endl;
exit(42);
}
/**************************************************************************
* The main method is the entry point of our program *
*************************************************************************/
int main(int argc, char * argv[])
{
int argi;
string inputFileName;
string outputFileName;
int threshold_level = -1;
for (argi = 0; argi < argc; argi++)
{
if (!strcmp(argv[argi], "-l"))
{
if (argi >= argc - 1)
usage(argv[0]);
argi++;
threshold_level = atoi(argv[argi]);
}
else
{
inputFileName = argv[argi];
outputFileName = string(argv[argi], strlen(argv[argi]) - 4);
outputFileName += "-edges.bmp";
}
}
if (inputFileName == "")
usage(argv[0]);
BMP inputImage(inputFileName.c_str());
int width = inputImage.getWidth();
int height = inputImage.getHeight();
int num_pixels = width * height;
unsigned char * bmp_data =
new unsigned char[num_pixels * 3];
inputImage.read(bmp_data);
unsigned char * padded_data =
new unsigned char[(width + 2) * (height + 2)];
squashAndPadData(bmp_data, padded_data, width, height);
delete[] bmp_data;
unsigned char * edge_data = new unsigned char[width * height * 3];
struct timeval before, after;
gettimeofday(&before, NULL); /* Start timing */
applyEdgeDetection(padded_data, edge_data, width, height, threshold_level);
gettimeofday(&after, NULL); /* Stop timing */
/* Write the output BMP image */
BMP outputImage(outputFileName.c_str(),
width,
height,
edge_data);
double time_before = before.tv_sec + before.tv_usec / 1000000.0;
double time_after = after.tv_sec + after.tv_usec / 1000000.0;
double diff = time_after - time_before;
cout << "Elapsed time: " << diff << " seconds." << endl;
delete[] padded_data;
delete[] edge_data;
}
/**************************************************************************
* Convert the 24-bpp BMP data pointed to by raw_data to a 8-bpp *
* grayscale representation *
*************************************************************************/
void squashAndPadData(unsigned char * raw_data, unsigned char * padded_data,
int width, int height)
{
for (int i = 0; i < width + 2; i++)
*padded_data++ = 0;
for (int i = 0; i < height; i++)
{
*padded_data++ = 0;
for (int j = 0; j < width; j++)
{
*padded_data++ = (raw_data[0] + raw_data[1] + raw_data[2]) / 3;
raw_data += 3;
}
*padded_data++ = 0;
}
for (int i = 0; i < width + 2; i++)
*padded_data++ = 0;
}
/**************************************************************************
* Apply the actual edge detection algorithm on the grayscale data *
*************************************************************************/
void applyEdgeDetection(unsigned char * padded_data, unsigned char * edge_data,
int width, int height, int threshold)
{
unsigned char (*in)[height+2][width+2] =
(unsigned char (*)[height+2][width+2]) padded_data;
unsigned char (*out)[height][width][3] =
(unsigned char (*)[height][width][3]) edge_data;
#pragma omp parallel for
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
/* Apply the Sobel operator on the in to
* produce an out value. */
int gradY = (*in)[y][x] + 2 * (*in)[y][x+1] + (*in)[y][x+2]
- (*in)[y+2][x] - 2 * (*in)[y+2][x+1] - (*in)[y+2][x+2];
int gradX = (*in)[y][x+2] + 2 * (*in)[y+1][x+2] + (*in)[y+2][x+2]
- (*in)[y][x] - 2 * (*in)[y+1][x] - (*in)[y+2][x];
int grad = gradX + gradY;
if (grad < 0)
grad = 0;
else if (grad > 255)
grad = 255;
if (threshold >= 0)
grad = grad < threshold ? 0 : 255;
(*out)[y][x][0] = grad;
(*out)[y][x][1] = grad;
(*out)[y][x][2] = grad;
}
}
}