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  2. Structural similarity index measure - Wikipedia

    en.wikipedia.org/wiki/Structural_similarity...

    The resultant SSIM index is a decimal value between -1 and 1, where 1 indicates perfect similarity, 0 indicates no similarity, and -1 indicates perfect anti-correlation. For an image, it is typically calculated using a sliding Gaussian window of size 11x11 or a block window of size 8×8.

  3. Similarity measure - Wikipedia

    en.wikipedia.org/wiki/Similarity_measure

    The most common method for comparing two images in content-based image retrieval (typically an example image and an image from the database) is using an image distance measure. An image distance measure compares the similarity of two images in various dimensions such as color, texture, shape, and others.

  4. Sum of absolute differences - Wikipedia

    en.wikipedia.org/wiki/Sum_of_absolute_differences

    There are exactly three unique locations within the search image where the template may fit: the left side of the image, the center of the image, and the right side of the image. To calculate the SAD values, the absolute value of the difference between each corresponding pair of pixels is used: the difference between 2 and 2 is 0, 4 and 1 is 3 ...

  5. Jaccard index - Wikipedia

    en.wikipedia.org/wiki/Jaccard_index

    The Jaccard index is a statistic used for gauging the similarity and diversity of sample sets. It is defined in general taking the ratio of two sizes (areas or volumes), the intersection size divided by the union size, also called intersection over union (IoU).

  6. Similarity (signal processing) - Wikipedia

    en.wikipedia.org/wiki/Similarity_(signal_processing)

    Structural similarity is a similarity metric specifically designed for measuring the similarity between two image signals. Unlike other similarity measures, SSIM leverages the strong interdependencies between neighboring pixels, providing a measure that closely aligns with human visual perception and feeling of similarity. [1]

  7. Fréchet inception distance - Wikipedia

    en.wikipedia.org/wiki/Fréchet_inception_distance

    The purpose of the FID score is to measure the diversity of images created by a generative model with images in a reference dataset. The reference dataset could be ImageNet or COCO-2014. [3] [8] Using a large dataset as a reference is important as the reference image set should represent the full diversity of images which the model attempts to ...

  8. Digital image correlation and tracking - Wikipedia

    en.wikipedia.org/wiki/Digital_image_correlation...

    Digital image correlation and tracking is an optical method that employs tracking and image registration techniques for accurate 2D and 3D measurements of changes in images. This method is often used to measure full-field displacement and strains , and it is widely applied in many areas of science and engineering.

  9. Dice-Sørensen coefficient - Wikipedia

    en.wikipedia.org/wiki/Dice-Sørensen_coefficient

    Other variations include the "similarity coefficient" or "index", such as Dice similarity coefficient (DSC). Common alternate spellings for Sørensen are Sorenson , Soerenson and Sörenson , and all three can also be seen with the –sen ending (the Danish letter ø is phonetically equivalent to the German/Swedish ö, which can be written as oe ...