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Add Java and Python code for morphology tutorials.

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This commit is contained in:
catree
2018-05-16 14:05:39 +02:00
parent 3104d2f738
commit 7e3490959a
21 changed files with 517 additions and 55 deletions
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samples/cpp/tutorial_code/ImgProc/Smoothing/Smoothing.cpp
+54 -16
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@@ -36,52 +36,90 @@ int main( int argc, char ** argv )
const char* filename = argc >=2 ? argv[1] : "../data/lena.jpg";
src = imread( filename, IMREAD_COLOR );
if(src.empty()){
if(src.empty())
{
printf(" Error opening image\n");
printf(" Usage: ./Smoothing [image_name -- default ../data/lena.jpg] \n");
return -1;
}
if( display_caption( "Original Image" ) != 0 ) { return 0; }
if( display_caption( "Original Image" ) != 0 )
{
return 0;
}
dst = src.clone();
if( display_dst( DELAY_CAPTION ) != 0 ) { return 0; }
if( display_dst( DELAY_CAPTION ) != 0 )
{
return 0;
}
/// Applying Homogeneous blur
if( display_caption( "Homogeneous Blur" ) != 0 ) { return 0; }
if( display_caption( "Homogeneous Blur" ) != 0 )
{
return 0;
}
//![blur]
for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
{ blur( src, dst, Size( i, i ), Point(-1,-1) );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
{
blur( src, dst, Size( i, i ), Point(-1,-1) );
if( display_dst( DELAY_BLUR ) != 0 )
{
return 0;
}
}
//![blur]
/// Applying Gaussian blur
if( display_caption( "Gaussian Blur" ) != 0 ) { return 0; }
if( display_caption( "Gaussian Blur" ) != 0 )
{
return 0;
}
//![gaussianblur]
for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
{ GaussianBlur( src, dst, Size( i, i ), 0, 0 );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
{
GaussianBlur( src, dst, Size( i, i ), 0, 0 );
if( display_dst( DELAY_BLUR ) != 0 )
{
return 0;
}
}
//![gaussianblur]
/// Applying Median blur
if( display_caption( "Median Blur" ) != 0 ) { return 0; }
if( display_caption( "Median Blur" ) != 0 )
{
return 0;
}
//![medianblur]
for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
{ medianBlur ( src, dst, i );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
{
medianBlur ( src, dst, i );
if( display_dst( DELAY_BLUR ) != 0 )
{
return 0;
}
}
//![medianblur]
/// Applying Bilateral Filter
if( display_caption( "Bilateral Blur" ) != 0 ) { return 0; }
if( display_caption( "Bilateral Blur" ) != 0 )
{
return 0;
}
//![bilateralfilter]
for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
{ bilateralFilter ( src, dst, i, i*2, i/2 );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
{
bilateralFilter ( src, dst, i, i*2, i/2 );
if( display_dst( DELAY_BLUR ) != 0 )
{
return 0;
}
}
//![bilateralfilter]
/// Done