Create 2D Image

This example illustrates how to create a data buffer corresponding to a 2D image, and copy it in an object connectable to an ImageDev algorithm.

To invoke an ImageDev algorithm, the data to process needs to be previously imported into an ImageView object of the IOLink library.

The first part of this example simply creates a buffer representing a 768x1027 pixel image with a filled square drawn inside. This step is for demonstration purposes only. In practice, you should already have the content of the image to process in a buffer stored in the data model used by your application.

Then some IOLink instructions create a new ImageView object. The buffer previously created is copied in this image with the WriteRegion method.

Two ImageDev algorithms are applied afterward to show that it is now possible to process this image with ImageDev.

ResetImage reinitializes all pixel intensities to 0 and generates a new empty image.
GrayscaleToColor combines the generated images in the 3 channels of an RGB image. The image representing the square is set in the red and green channels, the empty image is set into the blue channel. The result image is a color image representing a yellow square.

<b>Figure 1.</b> The 2D image generated by this example

Figure 1. The 2D image generated by this example

#include <ImageDev/ImageDev.h>
#include <ioformat/IOFormat.h>
#include <iolink/view/ImageViewFactory.h>
#include <iolink/view/ImageViewProvider.h>
#include <string.h>

using namespace imagedev;
using namespace ioformat;
using namespace iolink;

int
main( int argc, char* argv[] )
{
    int status = 0;

    try
    {
        // ImageDev library initialization
        if ( imagedev::isInitialized() == false )
            imagedev::init();

        // Initialize an unsigned 8-bit array storing data of a 2D image
        const uint64_t rowCount = 768;
        const uint64_t colCount = 1024;
        std::vector< uint8_t > imageData( rowCount * colCount );

        // Define a synthetic square in this array
        const uint64_t side = colCount / 2; // side in pixels of the square to draw

        // Loop on image rows
        for ( uint64_t i = 0; i < rowCount; ++i )
        {
            // Loop on image columns
            for ( uint64_t j = 0; j < colCount; ++j )
            {
                if ( ( i >= ( rowCount - side ) / 2 ) && ( i <= ( rowCount + side ) / 2 ) &&
                     ( j >= ( colCount - side ) / 2 ) && ( j <= ( colCount + side ) / 2 ) )
                    imageData[i * colCount + j] = 228; // Value inside the square
                else
                    imageData[i * colCount + j] = 0; // Background value
            }
        }

        // Create an image view of same dimensions
        VectorXu64 imageShape{ colCount, rowCount };
        auto image = ImageViewFactory::allocate( imageShape, DataTypeId::UINT8 );
        image->setAxesInterpretation( ImageTypeId::IMAGE );

        // Define the region where to write the data
        VectorXu64 imageOrig{ 0, 0 };
        RegionXu64 imageRegion( imageOrig, imageShape );

        // Copy the data in the image view
        image->writeRegion( imageRegion, imageData.data() );

        // This image can now be processed by any ImageDev algorithm, for instance for building a color image
        auto imageVoid = resetImage( image, 0.0f );
        auto imageRgb = grayscaleToColor( image, image, imageVoid );

        // Save the created image with IOFormat
        writeView( imageRgb, "T02_01_output.png" );

        std::cout << "This example ran successfully." << std::endl;
    }
    catch ( const imagedev::Exception& error )
    {
        // Print potential exception in the standard output
        std::cerr << "ImageDev exception: " << error.what() << std::endl;
        status = -1;
    }

    // ImageDev library finalization
    imagedev::finish();

    // Check if we must ask for an enter key to close the program
    if ( !( ( argc == 2 ) && strcmp( argv[1], "--no-stop-at-end" ) == 0 ) )
        std::cout << "Press Enter key to close this window." << std::endl, getchar();

    return status;
}

using System;
using ImageDev;
using IOLink;
using IOFormat;

namespace T02_01_CreateImage2D
{
    class Program
    {
        static void Main(string[] args)
        {
            int status = 0;

            try
            {
                // Initialize the ImageDev library if not done
                if (Initialization.IsInitialized() == false)
                    Initialization.Init();

                // Initialize an unsigned 8-bit array storing data of a 2D image
                ulong rowCount = 768;
                ulong colCount = 1024;
                byte[] imageData = new byte[rowCount * colCount];

                // Define a synthetic square in this array
                ulong side = colCount / 2; // side in pixels of the square to draw

                // Loop on image rows
                for (ulong i = 0; i < rowCount; ++i)
                {
                    // Loop on image columns
                    for (ulong j = 0; j < colCount; ++j)
                    {
                        if ((i >= (rowCount - side) / 2) && (i <= (rowCount + side) / 2) &&
                             (j >= (colCount - side) / 2) && (j <= (colCount + side) / 2))
                            imageData[i * colCount + j] = 228; // Value inside the square
                        else
                            imageData[i * colCount + j] = 0; // Background value
                    }
                }

                // Create an image view of same dimensions
                VectorXu64 imageShape = new VectorXu64(colCount, rowCount);
                ImageView image = ImageViewFactory.Allocate(imageShape, DataTypeId.UINT8);
                image.AxesInterpretation = ImageTypeId.IMAGE;

                // Define the region where to write the data
                VectorXu64 imageOrig = new VectorXu64(0, 0);
                RegionXu64 imageRegion = new RegionXu64(imageOrig, imageShape);

                // Copy the data in the image view
                image.WriteRegion(imageRegion, imageData);

                // This image can now be processed by any ImageDev algorithm, for instance for building a color image
                ImageView imageVoid = Processing.ResetImage(image, 0.0f);
                ImageView imageRgb = Processing.GrayscaleToColor(image, image, imageVoid);

                // Save the created image with IOFormat
                ViewIO.WriteView(imageRgb, "T02_01_output.png");
            }
            catch (Exception error)
            {
                // Print potential exception in the standard output
                System.Console.WriteLine("HelloImageDev exception: " + error.ToString());
                status = -1;
            }

            // ImageDev library finalization
            Initialization.Finish();

            // Check if we must ask for an enter key to close the program
            if (!((args.Length >= 1) && (args[0] == "--no-stop-at-end")))
            {
                System.Console.WriteLine("Press Enter key to close this window.");
                System.Console.ReadKey();
            }

            System.Environment.Exit(status);
        }
    }
}

import imagedev
import iolink
import ioformat
import numpy

# Initialize the ImageDev library if not done
if (imagedev.is_initialized() == False): imagedev.init()

# Initialize an unsigned 8 - bit array storing data of a 3D image
row_count = 768
col_count = 1024
image_data = numpy.zeros((row_count , col_count), numpy.uint8)
# Define a synthetic square in this array
side = int(col_count / 2) # side in pixels of the square to draw

image_data[int((row_count - side) / 2):int((row_count + side) / 2),
           int((col_count - side) / 2):int((col_count + side) / 2)] = 228

# Create an image view of same dimensions VectorXu64
image_shape = iolink.VectorXu64(col_count, row_count)
image = iolink.ImageViewFactory.allocate(image_shape, iolink.DataTypeId_UINT8)
image.axes_interpretation = iolink.ImageTypeId.IMAGE

# Define the region where to write the data
image_orig = iolink.VectorXu64(0, 0)
image_region = iolink.RegionXu64(image_orig, image_shape)

# Copy the data in the image view
image.write_region(image_region, image_data)

# This image can now be processed by any ImageDev algorithm, for instance for building a color image
image_void = imagedev.reset_image(image, 0.0)
image_rgb = imagedev.grayscale_to_color(image, image, image_void)

# Save the created image with IOFormat
ioformat.write_view(image_rgb, "T02_01_output.png")

# ImageDev library finalization
imagedev.finish()

See also