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AugeLab Studio Manual
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Image Color Match

Image Color Match Node Documentation

The Image Color Match node in AugeLab Studio performs color matching between an input image and a reference image. It adjusts the color distribution of the input image to match the color distribution of the reference image.

Node Overview

The Image Color Match node uses histogram matching to align the color distributions of the input and reference images. It applies the color mapping obtained from the reference image's histogram to the input image, resulting in color-matched output.

Node Properties

  • Node Title: Image Color Match
  • Node ID: OP_NODE_IMAGE_COLOR_MATCH

Inputs

The Image Color Match node has the following input sockets:
  1. 1.
    Input Image: The input image that you want to color match.
  2. 2.
    Reference Image: The reference image whose color distribution will be used for color matching. If no reference image is provided, the input image will be color-matched to itself.

Outputs

The Image Color Match node has the following output socket:
  1. 1.
    Output Image: The output image after color matching.

Usage

  1. 1.
    Drag and drop the Image Color Match node from the node library onto the canvas in AugeLab Studio.
  2. 2.
    Connect the input image to the Input Image input socket of the Image Color Match node.
  3. 3.
    (Optional) Connect a reference image to the Reference Image input socket of the Image Color Match node. If no reference image is provided, the input image will be color-matched to itself.
  4. 4.
    Run the pipeline.
  5. 5.
    The Image Color Match node will output the color-matched image through the Output Image output socket.
  6. 6.
    Use the output image for further analysis or display it in the console.

Notes

  • The Image Color Match node performs color matching between the input image and the reference image by aligning their color distributions using histogram matching.
  • If no reference image is provided, the input image will be color-matched to itself. This can be useful for enhancing the color distribution of the input image.
  • The input and reference images must have the same dimensions. If they have different dimensions, an error will be logged, and an exception will be raised.
  • The output image will have the same dimensions and data type as the input image.
That concludes the documentation for the Image Color Match node in AugeLab Studio. This node allows you to perform color matching between an input image and a reference image, ensuring that the color distributions of the two images are aligned.