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  2. Structural similarity index measure - Wikipedia

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

    The structural similarity index measure (SSIM) is a method for predicting the perceived quality of digital television and cinematic pictures, as well as other kinds of digital images and videos. It is also used for measuring the similarity between two images.

  3. Visual comparison - Wikipedia

    en.wikipedia.org/wiki/Visual_comparison

    This technique is good for finding edits in graphical images, or for comparing an image with a compressed version to spot artefacts. [3] Visual comparison with a standard chart or reference is often used as a means of measuring complex phenomena such as the weather, sea states or the roughness of a river. [4]

  4. Czenakowski distance - Wikipedia

    en.wikipedia.org/wiki/Czenakowski_distance

    The Czenakowski distance (sometimes shortened as CZD) is a per-pixel quality metric that estimates quality or similarity by measuring differences between pixels.Because it compares vectors with strictly non-negative elements, it is often used to compare colored images, as color values cannot be negative.

  5. 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.

  6. 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 ...

  7. Image registration - Wikipedia

    en.wikipedia.org/wiki/Image_registration

    The method can be extended to determine rotation and scaling differences between two images by first converting the images to log-polar coordinates. [ 13 ] [ 14 ] Due to properties of the Fourier transform , the rotation and scaling parameters can be determined in a manner invariant to translation.

  8. Digital image correlation and tracking - Wikipedia

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

    DVC can be performed using volumetric image datasets. These images can be obtained using confocal microscopy, X-ray computed tomography, Magnetic Resonance Imaging or other techniques. Similar to the other DIC techniques, the images must exhibit a distinct, high-contrast 3D "speckle pattern" to ensure accurate displacement measurement. [10]

  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 ...