Image registration methods: a survey

By Barbara Zitová, Jan Flusser. Image and Vision Computing, 2003

6,256 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d5b692f690207d59fd21b19c4a510fd7c3f6caa8

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In Aerospace Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

A review of multimodal image matching: Methods and applications (2021, methodology): “General image matching, as defined in related surveys [1,2], aims o identify and then correspond the same or similar structure/content rom two or more images.”
Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation (2011, methodology): “Preprocessing steps such as noise filtering and post-processing steps such as filtering of displacement vectors by averaging are also able to improve the precision and accuracies of displacement estimates (Kääb & Vollmer, 2000; Zitová & Flusser, 2003).”
A survey of classical methods and new trends in pansharpening of multispectral images (2011, methodology): “Example methods in this category include methods using spatial relations, those based on invariant descriptors, relaxation, and pyramidal and wavelet image decompositions, among others [19].”
Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132 (2017, background): “Medical Physics, 44 (7), July 2017 e50 Brock et al.”
A survey on wireless multimedia sensor networks (2007, background): “One of the most widespread data alignment concepts, image registration [137], is a family of techniques, widely used in areas such as remote sensing, medical imaging, and computer vision, to geometrically align different images (reference and sensed images) of the same scene taken at different times”
Moving Object Detection in Spatial Domain using Background Removal Techniques - State-of-Art (2008, background): “Simple temporal and/or spatial smoothing is often used in the early stage of pre-processing to reduce camera noise and to remove transient environmental noise such as rain and snow captured in outdoor applications.”
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge (2011, neutral): “Shown with the y-axis range of [0–5] (above) and the full range of y-axis values [0–53] (below).”
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach (2017, methodology): “Compared with object motion, camera motion is relatively easy to tackle via either setting a tripod or employing some registration techniques [15]–[17].”
Biconvex sets and optimization with biconvex functions: a survey and extensions (2007, methodology): “For further details we refer to Zitová and Flusser (2003) where a survey on image registration can be found, and to Besl and McKay (1992) for information on the ICP algorithm.”
Medical image registration: a review (2014, background): “In the literature, several reviews on image registration methods can be found: overall image registration in (Brown, 1992; Salvi et al., 2007; Wyawahare et al., 2009; Zitová and Flusser, 2003), medical image registration in general (Bronzino, 2000; Elsen et al.”
Mutual-Information-Based Registration of TerraSAR-X and Ikonos Imagery in Urban Areas (2010, background): “An extensive overview and survey of various image registration methods used in the aforementioned fields can be found in the literature [1], [2].”
Robust Feature Matching for Remote Sensing Image Registration via Locally Linear Transforming (2015, methodology): “types: correlation-like methods, Fourier methods, and mutual information (MI) methods [1].”
Pedestrian Protection Systems: Issues, Survey, and Challenges (2007, methodology): “A survey of registration methods is presented in [107].”