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Structural Similarity
The
Structural Similarity
node in AugeLab Studio is used to calculate the structural similarity index (SSIM) between two input images.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 Title: Structural Similarity
- Node ID: OP_NODE_STRUCTURAL_SIMI
The
Structural Similarity
node has the following input sockets:- 1.Image 1: The first input image for comparison.
- 2.Image 2: The second input image for comparison.
The
Structural Similarity
node has the following output socket:- 1.Similarity Percentage: The structural similarity index (SSIM) between the two input images, represented as a percentage.
The
Structural Similarity
node does not provide any UI controls.- 1.Drag and drop the
Structural Similarity
node from the node library onto the canvas in AugeLab Studio. - 2.Connect the first input image to the Image 1 input socket of the
Structural Similarity
node. - 3.Connect the second input image to the Image 2 input socket of the
Structural Similarity
node. - 4.Run the pipeline.
- 5.The
Structural Similarity
node will compute the structural similarity index (SSIM) between the two input images. - 6.The SSIM value, represented as a percentage, will be output through the Similarity Percentage output socket.
- 7.Use the output SSIM value for further analysis or display it in the console.
- 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 theskimage.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.