Computer Vision: Through the Eyes of a Machine

A computer sees in numbers, assigning hex codes representing specific color values to each pixel in an image. Here’s one way a computer tries to understand what it’s looking at.

The computer identifies more specific color shades and uses different methods to distinguish the foreground from the background. One uses color gradients to help determine the edges of the different objects.

To learn more, the computer scans for lines that meet at an angle. The features, known as corners, are the building blocks the computer uses to get a more sophisticated sense of the information in the image.

To further distinguish like objects, the computer determines how the texture in the image differ from one another.

Once it’s isolated the foreground image, the computer uses different techniques to determine what it is. It can look for objects it recognizes, filling in the image with any match. It also uses algorithms to help identify the image.

A complete picture emerges. Computers are getting more accurate every day, but still only figure out what they’re looking at about half the time.

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