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  2. Distance transform - Wikipedia

    en.wikipedia.org/wiki/Distance_transform

    A distance transform, also known as distance map or distance field, is a derived representation of a digital image.The choice of the term depends on the point of view on the object in question: whether the initial image is transformed into another representation, or it is simply endowed with an additional map or field.

  3. Hausdorff distance - Wikipedia

    en.wikipedia.org/wiki/Hausdorff_distance

    A measure for the dissimilarity of two shapes is given by Hausdorff distance up to isometry, denoted D H. Namely, let X and Y be two compact figures in a metric space M (usually a Euclidean space ); then D H ( X , Y ) is the infimum of d H ( I ( X ), Y ) among all isometries I of the metric space M to itself.

  4. Fréchet inception distance - Wikipedia

    en.wikipedia.org/wiki/Fréchet_inception_distance

    The distance between the two distributions is calculated as the earth mover's distance or the Wasserstein distance between the two Gaussian distributions. Rather than directly comparing images pixel by pixel (for example, as done by the L2 norm ), the FID compares the mean and standard deviation of the deepest layer in Inception v3 (the 2048 ...

  5. Content-based image retrieval - Wikipedia

    en.wikipedia.org/wiki/Content-based_image_retrieval

    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. For example, a distance of 0 signifies ...

  6. Structural similarity index measure - Wikipedia

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

    The predecessor of SSIM was called Universal Quality Index (UQI), or Wang–Bovik Index, which was developed by Zhou Wang and Alan Bovik in 2001. This evolved, through their collaboration with Hamid Sheikh and Eero Simoncelli, into the current version of SSIM, which was published in April 2004 in the IEEE Transactions on Image Processing. [1]

  7. Sum of absolute differences - Wikipedia

    en.wikipedia.org/wiki/Sum_of_absolute_differences

    In digital image processing, the sum of absolute differences (SAD) is a measure of the similarity between image blocks.It is calculated by taking the absolute difference between each pixel in the original block and the corresponding pixel in the block being used for comparison.

  8. Hamming distance - Wikipedia

    en.wikipedia.org/wiki/Hamming_distance

    In information theory, the Hamming distance between two strings or vectors of equal length is the number of positions at which the corresponding symbols are different. In other words, it measures the minimum number of substitutions required to change one string into the other, or equivalently, the minimum number of errors that could have transformed one string into the other.

  9. 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.