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AugeLab Studio Manual
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Minimum Images

Minimum Images Node Documentation

The Minimum Images node in AugeLab Studio is used to create an image of minimum values from two input images pixel by pixel.

Node Overview

The Minimum Images node takes two input images and compares the pixel values of each corresponding pixel. It selects the minimum value from each pair of pixels and creates a new image where each pixel represents the minimum value from the input images. The node is useful for finding the minimum values between two images.

Node Properties

  • Node Title: Minimum Images
  • Node ID: OP_NODE_MINIMUM_IMAGE

Inputs

The Minimum Images node has the following input sockets:
  1. 1.
    Input Image 1: The first input image.
  2. 2.
    Input Image 2: The second input image.
Both input images should have the same dimensions.

Outputs

The Minimum Images node has the following output socket:
  1. 1.
    Output Image: The resulting image with pixel values representing the minimum values between the input images.
The output image will have the same dimensions as the input images.

Usage

  1. 1.
    Drag and drop the Minimum Images node from the node library onto the canvas in AugeLab Studio.
  2. 2.
    Connect the first input image to the Input Image 1 input socket of the Minimum Images node.
  3. 3.
    Connect the second input image to the Input Image 2 input socket of the Minimum Images node.
  4. 4.
    Run the pipeline.
  5. 5.
    The Minimum Images node will compare the pixel values of the input images and create a new image with pixel values representing the minimum values.
  6. 6.
    The resulting image will be output through the Output Image output socket.
  7. 7.
    Use the output image for further analysis or display it in the console.

Notes

  • The Minimum Images node requires two input images.
  • The node compares the pixel values of each corresponding pixel in the input images.
  • It selects the minimum value from each pair of pixels and creates a new image with pixel values representing the minimum values.
  • The node supports images of any size and data type.
  • If the input images have different dimensions, an error will be raised. Ensure that the input images have the same size.
  • The Minimum Images node uses NumPy's np.minimum() function to compare the pixel values and create the output image.
  • The resulting image will have the same dimensions as the input images.
That concludes the documentation for the Minimum Images node in AugeLab Studio. This node allows you to find the minimum values between two images, enabling you to perform operations based on the minimum pixel values in your pipeline.