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Add Java and Python code for the following imgproc tutorials: Affine Transformations, Histogram Equalization, Histogram Calculation, Histogram Comparison, Back Projection.

This commit is contained in:
catree
2018-05-23 19:44:27 +02:00
parent 3654fb10d7
commit 4c1c3147d9
24 changed files with 2014 additions and 608 deletions
@@ -12,42 +12,43 @@
using namespace std;
using namespace cv;
const char* keys =
"{ help h| | Print help message. }"
"{ input1 | | Path to input image 1. }"
"{ input2 | | Path to input image 2. }"
"{ input3 | | Path to input image 3. }";
/**
* @function main
*/
int main( int argc, char** argv )
{
Mat src_base, hsv_base;
Mat src_test1, hsv_test1;
Mat src_test2, hsv_test2;
Mat hsv_half_down;
/// Load three images with different environment settings
if( argc < 4 )
//! [Load three images with different environment settings]
CommandLineParser parser( argc, argv, keys );
Mat src_base = imread( parser.get<String>("input1") );
Mat src_test1 = imread( parser.get<String>("input2") );
Mat src_test2 = imread( parser.get<String>("input3") );
if( src_base.empty() || src_test1.empty() || src_test2.empty() )
{
printf("** Error. Usage: ./compareHist_Demo <image_settings0> <image_settings1> <image_settings2>\n");
cout << "Could not open or find the images!\n" << endl;
parser.printMessage();
return -1;
}
//! [Load three images with different environment settings]
src_base = imread( argv[1], IMREAD_COLOR );
src_test1 = imread( argv[2], IMREAD_COLOR );
src_test2 = imread( argv[3], IMREAD_COLOR );
if(src_base.empty() || src_test1.empty() || src_test2.empty())
{
cout << "Can't read one of the images" << endl;
return -1;
}
/// Convert to HSV
//! [Convert to HSV]
Mat hsv_base, hsv_test1, hsv_test2;
cvtColor( src_base, hsv_base, COLOR_BGR2HSV );
cvtColor( src_test1, hsv_test1, COLOR_BGR2HSV );
cvtColor( src_test2, hsv_test2, COLOR_BGR2HSV );
//! [Convert to HSV]
hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows - 1 ), Range( 0, hsv_base.cols - 1 ) );
//! [Convert to HSV half]
Mat hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows ), Range( 0, hsv_base.cols ) );
//! [Convert to HSV half]
/// Using 50 bins for hue and 60 for saturation
int h_bins = 50; int s_bins = 60;
//! [Using 50 bins for hue and 60 for saturation]
int h_bins = 50, s_bins = 60;
int histSize[] = { h_bins, s_bins };
// hue varies from 0 to 179, saturation from 0 to 255
@@ -56,17 +57,13 @@ int main( int argc, char** argv )
const float* ranges[] = { h_ranges, s_ranges };
// Use the o-th and 1-st channels
// Use the 0-th and 1-st channels
int channels[] = { 0, 1 };
//! [Using 50 bins for hue and 60 for saturation]
//! [Calculate the histograms for the HSV images]
Mat hist_base, hist_half_down, hist_test1, hist_test2;
/// Histograms
MatND hist_base;
MatND hist_half_down;
MatND hist_test1;
MatND hist_test2;
/// Calculate the histograms for the HSV images
calcHist( &hsv_base, 1, channels, Mat(), hist_base, 2, histSize, ranges, true, false );
normalize( hist_base, hist_base, 0, 1, NORM_MINMAX, -1, Mat() );
@@ -78,20 +75,21 @@ int main( int argc, char** argv )
calcHist( &hsv_test2, 1, channels, Mat(), hist_test2, 2, histSize, ranges, true, false );
normalize( hist_test2, hist_test2, 0, 1, NORM_MINMAX, -1, Mat() );
//! [Calculate the histograms for the HSV images]
/// Apply the histogram comparison methods
for( int i = 0; i < 4; i++ )
//! [Apply the histogram comparison methods]
for( int compare_method = 0; compare_method < 4; compare_method++ )
{
int compare_method = i;
double base_base = compareHist( hist_base, hist_base, compare_method );
double base_half = compareHist( hist_base, hist_half_down, compare_method );
double base_test1 = compareHist( hist_base, hist_test1, compare_method );
double base_test2 = compareHist( hist_base, hist_test2, compare_method );
printf( " Method [%d] Perfect, Base-Half, Base-Test(1), Base-Test(2) : %f, %f, %f, %f \n", i, base_base, base_half , base_test1, base_test2 );
cout << "Method " << compare_method << " Perfect, Base-Half, Base-Test(1), Base-Test(2) : "
<< base_base << " / " << base_half << " / " << base_test1 << " / " << base_test2 << endl;
}
//! [Apply the histogram comparison methods]
printf( "Done \n" );
cout << "Done \n";
return 0;
}