Image processing with Go
Programming Snapshot – Go
© Lead Image © Martin Malchev, 123RF.com
Go comes with an image-processing toolkit right out of the box. In this month's column, Mike Schilli explains how to walk through a photo's pixels to detect the foreground by comparing values against a threshold and shows how to manipulate the original by creating a nice looking silhouette.
Until recently, my headshot at the end of every "Programming Snapshot" article showed a much younger version of myself, dating back 15 years, so I grudgingly shot a new one the other day. While doing this, the idea occurred to me to try out my new favorite language Go's suitability for image processing. How hard could it be to generate an artful silhouette of the person shown in the photo?
Of course, with some Gimp skills this could be done quite quickly. However, what is far more interesting is the question of how an image processing program walks through the pixels of Figure 1 and finds out which of them actually belong to the person (the foreground) and which to the lighter background. When a foreground pixel is found, the algorithm can then go ahead and set it to black, which in the digital world means it has its red, green, and blue channels set to 0,0,0. Easy enough, right?
Figure 1: The original version of my headshot fed to the algorithm.
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