Image Registration Techniques: A Survey
By Sayan Nag. 2017
48 citations recorded by the source corpus.
Image Registration is the process of aligning two or more images of the same scene with reference to a particular image. The images are captured from various sensors at different times and at multiple view-points. Thus to get a better picture of any change of a scene or object over a considerable period of time image registration is important. Image registration finds application in medical sciences, remote sensing and in computer vision. This paper presents a detailed review of several approaches which are classified accordingly along with their contributions and drawbacks. The main steps of an image registration procedure are also discussed. Different performance measures are presented that determine the registration quality and accuracy. The scope for the future research are presented as well.
Subfields: Computer Vision and Pattern Recognition
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In Computer Vision and Pattern Recognition
Citations in the corpus
- An overview of deep learning in medical imaging focusing on MRI (2018, background): “A wide range of methodological approaches have been developed and tested for various organs and applications40 [229, 230, 231, 232, 233, 234, 235, 236, 237, 238], including “previous generation” artificial neural networks [239].”