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Another question that might arise is: what happens if the convolution kernel has an even number of rows or columns In this case there is no exact center cell for the window, which means that it cannot be centered on a certain pixel. Solutions to this problem can be provided by using interpolation between the cells of the kernel, or by allowing the output image to have different dimensions than the input image. In the following, however, we will assume that a convolution kernel has an odd number of rows and columns, so that there is always a clearly defined center. 216 MANIPULATING PIXELS AND TRANSPARENCY

To view SVG, you need to download an application that understands and renders SVG. A good application for Windows is the SVG Viewer from Adobe, which can act as a browser plug-in and is available at http://www.adobe.com/svg/viewer/install/main.html. When you open an SVG document, your browser should activate the SVG Viewer, so that the SVG is displayed within the browser window.

For example, try viewing the simple SVG graphic in Listing 16-1 (circle.svg) after installing SVG Viewer. Listing 16-1. circle.svg <svg width="12cm" height="4cm" viewBox="0 0 1200 400" xmlns="http://www.w3.org/2000/svg"> <circle r="100" cx="600" cy="200" fill="#C00" stroke="black" stroke-width="10" </svg>

We will now have a look at a program that implements a convolution filter algorithm using Image::Magick. The program provides a command-line interface to set the appropriate parameters. Since this is a full program, we ll start by declaring all the things we need:

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You should see a red circle with a black border in the browser window, as shown in Figure 16-1.

The ideal case in integrating test cases into your code would be to simply write test cases and then have them executed when you are building your project or solution. Currently with NUnit, you build your application and then test it with two distinct tools. With MSBuild, you can integrate these tools and create a seamless build that will also run test cases over the latest version of code written. To do this, you need to write a NUnit MSBuild task. In this section, we will discuss how this was written and, more important, how you can use this in your projects.

This looks just the same as a bitmap image. For example, Figure 16-2 shows circle.bmp in Microsoft Paint at a normal zoom.

#!/usr/bin/perl -w use strict; use Image::Magick; use Getopt::Long; my ($width, $height); my (@kernel, $divider, $bias); my ($x_offset, $y_offset); $bias = 0; my $kernel_file; my $output_type; my $preserve_matte = 0; GetOptions( "kernel-file=s" "output-type=s" "divider=i" "bias=i" "preserve-matte!" );

Figure 16-2. Viewing circle.bmp in Paint at normal zoom The bitmap circle looks smooth at this resolution, but when you zoom in to the circle s edge, you start to see the pixels that make up the picture, as shown in Figure 16-3.

\$kernel_file, \$output_type, \$divider, \$bias, \$preserve_matte,

If, using Adobe s SVG Viewer, you bring up the context menu for the SVG graphic in Internet Explorer (right-click the picture), then you ll see various useful options, including the ability to zoom in to the image. You can use this context menu to zoom in to the edge of the circle, as shown in Figure 16-4.

Figure 16-4. Viewing circle.svg in Internet Explorer at 8x zoom Notice that no matter how closely you zoom in to the image, the edge never becomes pixilated. This demonstrates the advantage of vector graphics over bitmaps. Like any other markup language, SVG uses namespaces to distinguish between elements that are part of SVG and elements that are part of other markup languages (which might be included in the SVG graphic, such as XHTML or XLink). The namespace for SVG elements is http://www.w3.org/2000/svg

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