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  2. List of alignment visualization software - Wikipedia

    en.wikipedia.org/wiki/List_of_alignment...

    This page is a subsection of the list of sequence alignment software. Multiple alignment visualization tools typically serve four purposes: Aid general understanding of large-scale DNA or protein alignments; Visualize alignments for figures and publication; Manually edit and curate automatically generated alignments; Analysis in depth

  3. Image registration - Wikipedia

    en.wikipedia.org/wiki/Image_registration

    Image registration or image alignment algorithms can be classified into intensity-based and feature-based. [3] One of the images is referred to as the moving or source and the others are referred to as the target, fixed or sensed images. Image registration involves spatially transforming the source/moving image(s) to align with the target image.

  4. Hugin (software) - Wikipedia

    en.wikipedia.org/wiki/Hugin_(software)

    combine overlapping images for panoramic photography; correct complete panorama images, e.g. those that are "wavy" due to a badly levelled panoramic camera; stitch large mosaics of images and photos, e.g. of long walls or large microscopy samples; find control points and optimize parameters with the help of software assistants/wizards

  5. Kabsch algorithm - Wikipedia

    en.wikipedia.org/wiki/Kabsch_algorithm

    The Kabsch algorithm, also known as the Kabsch-Umeyama algorithm, [1] named after Wolfgang Kabsch and Shinji Umeyama, is a method for calculating the optimal rotation matrix that minimizes the RMSD (root mean squared deviation) between two paired sets of points.

  6. Phase correlation - Wikipedia

    en.wikipedia.org/wiki/Phase_correlation

    Phase correlation is an approach to estimate the relative translative offset between two similar images (digital image correlation) or other data sets.It is commonly used in image registration and relies on a frequency-domain representation of the data, usually calculated by fast Fourier transforms.

  7. Point spread function - Wikipedia

    en.wikipedia.org/wiki/Point_spread_function

    By virtue of the linearity property of optical non-coherent imaging systems, i.e., . Image(Object 1 + Object 2) = Image(Object 1) + Image(Object 2). the image of an object in a microscope or telescope as a non-coherent imaging system can be computed by expressing the object-plane field as a weighted sum of 2D impulse functions, and then expressing the image plane field as a weighted sum of the ...

  8. CombineZ - Wikipedia

    en.wikipedia.org/wiki/CombineZ

    Free and open-source software portal; CombineZ is free image-processing software package for creating images with extended depth of field.It runs on Microsoft Windows.The current release is CombineZP (CombineZ-Pyramid), successor to CombineZM (CombineZ-Movie) which was based on CombineZ5 (designed for older versions of Windows and is no longer maintained).

  9. Point-set registration - Wikipedia

    en.wikipedia.org/wiki/Point-set_registration

    Point set registration is the process of aligning two point sets. Here, the blue fish is being registered to the red fish. In computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process of finding a spatial transformation (e.g., scaling, rotation and translation) that aligns two point clouds.