Image registration

Image registration is widely used in today’s world as it is needed in remote sensing such as weather forecasting and environmental monitoring to allow work to be done efficiently. It is a process whereby two or more images overlay one another at different times of the similar scene. Practically,...

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Bibliographic Details
Main Author: Lim, Pei Yi
Other Authors: Chua Chin Seng
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/68146
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author Lim, Pei Yi
author2 Chua Chin Seng
author_facet Chua Chin Seng
Lim, Pei Yi
author_sort Lim, Pei Yi
collection NTU
description Image registration is widely used in today’s world as it is needed in remote sensing such as weather forecasting and environmental monitoring to allow work to be done efficiently. It is a process whereby two or more images overlay one another at different times of the similar scene. Practically, most image registration algorithms are measured in the separation between the images in order to get the transformation that these distances are at their lowest. Twodimensional and three-dimensional images are frequently used image registration in the medical applications. From the research, there are several of methods such as Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF) used in computer vision to form panorama image on different programs. Yet in this report, image stitching is being introduced using the C# program to implement where we are able to combine photographic images with overlapping scenes to achieve a segmented panorama image
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spelling ntu-10356/681462023-07-07T15:41:51Z Image registration Lim, Pei Yi Chua Chin Seng School of Electrical and Electronic Engineering DRNTU::Engineering Image registration is widely used in today’s world as it is needed in remote sensing such as weather forecasting and environmental monitoring to allow work to be done efficiently. It is a process whereby two or more images overlay one another at different times of the similar scene. Practically, most image registration algorithms are measured in the separation between the images in order to get the transformation that these distances are at their lowest. Twodimensional and three-dimensional images are frequently used image registration in the medical applications. From the research, there are several of methods such as Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF) used in computer vision to form panorama image on different programs. Yet in this report, image stitching is being introduced using the C# program to implement where we are able to combine photographic images with overlapping scenes to achieve a segmented panorama image Bachelor of Engineering 2016-05-24T07:05:37Z 2016-05-24T07:05:37Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/68146 en Nanyang Technological University 48 p. application/pdf
spellingShingle DRNTU::Engineering
Lim, Pei Yi
Image registration
title Image registration
title_full Image registration
title_fullStr Image registration
title_full_unstemmed Image registration
title_short Image registration
title_sort image registration
topic DRNTU::Engineering
url http://hdl.handle.net/10356/68146
work_keys_str_mv AT limpeiyi imageregistration