Commands

Image processing

Image processing commands work on image planes manipulating the input image plane and forwarding the newly image to the command output. ImageC provides a set of image processing algorithm for different use cases.

In general, image preprocessing serves to minimize the image noise as far as possible (maximizing the signal-to-noise ratio) in order to enable separation between the background and the signal. An object segmentation command is issued after the image preprocessing.

Hint

Image processing commands get an image as input and have a manipulated image as output.

• Color filter
• Rolling ball
• Blur

Object segmentation

The aim of object segmentation is to convert a grey-scale image into a binary image in such a way that all background areas are converted to black and all areas of interest are converted to a value other than black.

• Threshold
  • Maximum threshold
  • Threshold classes
  • Auto threshold
    • Handling control images without objects