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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. 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 ...

  4. 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 ...

  5. Structural similarity index measure - Wikipedia

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

    The SSIM index is a full reference metric; in other words, the measurement or prediction of image quality is based on an initial uncompressed or distortion-free image as reference. SSIM is a perception -based model that considers image degradation as perceived change in structural information, while also incorporating important perceptual ...

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

  7. 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.

  8. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    The search-based methods detect edges by first computing a measure of edge strength, usually a first-order derivative expression such as the gradient magnitude, and then searching for local directional maxima of the gradient magnitude using a computed estimate of the local orientation of the edge, usually the gradient direction.

  9. Medoid - Wikipedia

    en.wikipedia.org/wiki/Medoid

    A distance matrix is required for medoid-based clustering, which is generated using Jaccard Dissimilarity (which is 1 - the Jaccard Index). This distance matrix is used to calculate the distance between two points on a one-dimensional graph. [citation needed] The above image shows an example of a Jaccard Dissimilarity graph.