ImageDev

OrientedLinesImage2d

Creates a two-dimensional binary image containing a series of parallel oriented lines.

Access to parameter description

OrientedLinesImage2d creates a binary image with a set of parallel lines with a given orientation and separated by a given offset.
This algorithm can be used, for example, to measure the mean thickness of a metal coating into a material section by an intersection method.
The following figures illustrate this kind of process.

As a preliminary step, a binary mask image of the coating is computed.

<b> Figure 1.</b> Material color image
Figure 1. Material color image

<b> Figure 2.</b> Coating mask segmentation
Figure 2. Coating mask segmentation

Then, a binary image composed of vertical lines can be generated with this algorithm.

<b> Figure 3.</b> Oriented lines image
Figure 3. Oriented lines image
The binary intersection of the lines with the coating mask image is performed. The resulting image appears in red on Figure 4.
<b> Figure 4.</b> Intersection between coating and lines overlaying the input image
Figure 4. Intersection between coating and lines overlaying the input image

Finally, an approximation of the coating mean thickness can be computed by a quantification algorithm like:

See also

Function Syntax

This function returns outputBinaryImage. 
// Function prototype
std::shared_ptr< iolink::ImageView >
orientedLinesImage2d( int32_t imageSizeX,
                      int32_t imageSizeY,
                      double orientationAngle,
                      double offset,
                      std::shared_ptr< iolink::ImageView > outputBinaryImage = NULL );
This function returns outputBinaryImage. 
// Function prototype.
oriented_lines_image_2d( image_size_x = 1024,
                         image_size_y = 1024,
                         orientation_angle = 10,
                         offset = 100,
                         output_binary_image = None )
This function returns outputBinaryImage. 
// Function prototype.
public static IOLink.ImageView
OrientedLinesImage2d( Int32 imageSizeX = 1024,
                      Int32 imageSizeY = 1024,
                      double orientationAngle = 10,
                      double offset = 100,
                      IOLink.ImageView outputBinaryImage = null );

Class Syntax

Parameters

Class Name OrientedLinesImage2d

Parameter Name Description Type Supported Values Default Value
input
imageSizeX
The X size in pixels of the output image. Int32 >=1 1024
input
imageSizeY
The Y size in pixels of the output image. Int32 >=1 1024
input
orientationAngle
The lines orientation in degrees from the X axis. Float64 Any value 10
input
offset
The distance in pixels between two lines. Float64 >=1 100
output
outputBinaryImage
The output binary image. Image nullptr

Object Examples


OrientedLinesImage2d orientedLinesImage2dAlgo;
orientedLinesImage2dAlgo.setImageSizeX( 1024 );
orientedLinesImage2dAlgo.setImageSizeY( 1024 );
orientedLinesImage2dAlgo.setOrientationAngle( 10.0 );
orientedLinesImage2dAlgo.setOffset( 100.0 );
orientedLinesImage2dAlgo.execute();

std::cout << "outputBinaryImage:" << orientedLinesImage2dAlgo.outputBinaryImage()->toString();


oriented_lines_image_2d_algo = imagedev.OrientedLinesImage2d()
oriented_lines_image_2d_algo.image_size_x = 1024
oriented_lines_image_2d_algo.image_size_y = 1024
oriented_lines_image_2d_algo.orientation_angle = 10.0
oriented_lines_image_2d_algo.offset = 100.0
oriented_lines_image_2d_algo.execute()

print( "output_binary_image:", str( oriented_lines_image_2d_algo.output_binary_image ) )


OrientedLinesImage2d orientedLinesImage2dAlgo = new OrientedLinesImage2d
{
    imageSizeX = 1024,
    imageSizeY = 1024,
    orientationAngle = 10.0,
    offset = 100.0
};
orientedLinesImage2dAlgo.Execute();

Console.WriteLine( "outputBinaryImage:" + orientedLinesImage2dAlgo.outputBinaryImage.ToString() );

Function Examples


auto result = orientedLinesImage2d( 1024, 1024, 10.0, 100.0 );

std::cout << "outputBinaryImage:" << result->toString();


result = imagedev.oriented_lines_image_2d( 1024, 1024, 10.0, 100.0 )

print( "output_binary_image:", str( result ) )


IOLink.ImageView result = Processing.OrientedLinesImage2d( 1024, 1024, 10.0, 100.0 );

Console.WriteLine( "outputBinaryImage:" + result.ToString() );