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AugeLab Studio Manual
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Split Image

Split Image Node Documentation

The Split Image node in AugeLab Studio is used to split an input RGB image into three separate grayscale images representing the red, green, and blue channels.

Node Overview

The Split Image node takes an input RGB image and separates it into three individual grayscale images, each representing one channel: red, green, and blue. The node outputs the following:
  • Red Channel: The grayscale image representing the red channel of the input image.
  • Blue Channel: The grayscale image representing the blue channel of the input image.
  • Green Channel: The grayscale image representing the green channel of the input image.

Node Properties

  • Node Title: Split Image
  • Node ID: OP_NODE_SPLIT_IMAGE

Inputs

The Split Image node has the following input socket:
  1. 1.
    Input Image: The RGB image to be split into channels.

Outputs

The Split Image node has the following output sockets:
  1. 1.
    Red Channel: The grayscale image representing the red channel of the input image.
  2. 2.
    Blue Channel: The grayscale image representing the blue channel of the input image.
  3. 3.
    Green Channel: The grayscale image representing the green channel of the input image.

UI Controls

The Split Image node does not provide any UI controls.

Usage

  1. 1.
    Drag and drop the Split Image node from the node library onto the canvas in AugeLab Studio.
  2. 2.
    Connect the input RGB image to the Input Image input socket of the Split Image node.
  3. 3.
    Run the pipeline.
  4. 4.
    The Split Image node will separate the input RGB image into three grayscale images representing the red, blue, and green channels.
  5. 5.
    The grayscale image representing the red channel will be output through the Red Channel output socket.
  6. 6.
    The grayscale image representing the blue channel will be output through the Blue Channel output socket.
  7. 7.
    The grayscale image representing the green channel will be output through the Green Channel output socket.
  8. 8.
    Use the output images for further analysis or display them in the console.

Notes

  • The Split Image node requires an input RGB image to perform the channel splitting operation.
  • The input RGB image is split into three grayscale images representing the red, blue, and green channels, respectively.
  • The dimensions of the output grayscale images will be the same as the input RGB image.
  • The Split Image node uses the cv2.split() function from OpenCV to split the RGB image into separate channels.
  • The output grayscale images can be used for further image processing or analysis.
  • The Split Image node can be connected to other nodes in the pipeline to perform various operations on individual color channels.
  • The separate grayscale images can be recombined using the Merge Channels node to reconstruct the original RGB image.
That concludes the documentation for the Split Image node in AugeLab Studio. This node allows you to split an input RGB image into separate grayscale images representing the red, blue, and green channels. The output images can be used for further analysis or processing.
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