This page is a part of, a wiki devoted to computer vision. It focuses on low level computer vision, digital image analysis, and applications. It is designed as an online textbook but the exposition is informal. It geared towards software developers, especially beginners, and CS students. The wiki contains mathematics, algorithms, code examples, source code, compiled software, and some discussion. If you have any questions or suggestions, please contact me directly.

Image manipulation

From Computer Vision Primer

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The ability to capture objects in the image opens new possibilities in image manipulation.

It is built on the same platform as the standard – image analysis – version of Pixcavator. The roundness and saliency sliders are removed. The output table is reduced to location and sizes only. The features that the standard version does not have are:

  • Automatic simplification – smaller or low contrast objects are removed throughout, in all three channels. This is truly Image Simplification as finer details disappear.
  • Manual simplification – a selected contour is filled with the color surrounding it. In other words, this is Spot cleaning (in the example below the mole was removed with a single click - nothing against it though).
  • Isolating objects – everything but the selected objects is painted white. In other words, this is Background removal.

For more examples, see the "For photographers" page [1] and our image gallery.

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