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AugeLab Studio Manual
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Structural Similarity

Structural Similarity Node Documentation

The Structural Similarity node in AugeLab Studio is used to calculate the structural similarity index (SSIM) between two input images.

Node Overview

The Structural Similarity node takes two input images and computes the structural similarity index (SSIM) between them. The SSIM is a metric that measures the structural similarity between two images. It provides a value between 0 and 1, where a value of 1 indicates that the images are identical in terms of structure and a value of 0 indicates no structural similarity.

Node Properties

  • Node Title: Structural Similarity
  • Node ID: OP_NODE_STRUCTURAL_SIMI

Inputs

The Structural Similarity node has the following input sockets:
  1. 1.
    Image 1: The first input image for comparison.
  2. 2.
    Image 2: The second input image for comparison.

Outputs

The Structural Similarity node has the following output socket:
  1. 1.
    Similarity Percentage: The structural similarity index (SSIM) between the two input images, represented as a percentage.

UI Controls

The Structural Similarity node does not provide any UI controls.

Usage

  1. 1.
    Drag and drop the Structural Similarity node from the node library onto the canvas in AugeLab Studio.
  2. 2.
    Connect the first input image to the Image 1 input socket of the Structural Similarity node.
  3. 3.
    Connect the second input image to the Image 2 input socket of the Structural Similarity node.
  4. 4.
    Run the pipeline.
  5. 5.
    The Structural Similarity node will compute the structural similarity index (SSIM) between the two input images.
  6. 6.
    The SSIM value, represented as a percentage, will be output through the Similarity Percentage output socket.
  7. 7.
    Use the output SSIM value for further analysis or display it in the console.

Notes

  • The Structural Similarity node requires two input images of the same size to calculate the SSIM.
  • The input images can be in color (RGB) or grayscale format.
  • If the input images are in color, they will be converted to grayscale before computing the SSIM.
  • The output of the Structural Similarity node is the structural similarity index (SSIM) between the two input images, represented as a percentage.
  • The SSIM value provides a measure of the structural similarity between the two images. A higher value indicates a higher degree of similarity.
  • The Structural Similarity node uses the skimage.metrics.structural_similarity function from the scikit-image library to compute the SSIM.
  • The output SSIM value can be used to compare the similarity of images or to perform image quality assessment.
  • The Structural Similarity node is useful for various applications, such as image matching, image registration, and image quality evaluation.
That concludes the documentation for the Structural Similarity node in AugeLab Studio. This node allows you to calculate the structural similarity index (SSIM) between two input images, providing a measure of their structural similarity. The output SSIM value can be used for further analysis or image quality assessment.
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