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2012 | OriginalPaper | Chapter

5. Image Descriptors

Author : Prof. A. Ardeshir Goshtasby

Published in: Image Registration

Publisher: Springer London

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Abstract

Image descriptors represent homogeneous features in an image or sub-image. The principles behind histogram-based, spin image-based, filtering-based, and moment-based descriptors are reviewed, and strategies to efficiently compute them are given. In addition, means to combine homogeneous descriptors to composite descriptors are described, and methods to determine the similarity or dissimilarity between the descriptors are outlined. Also discussed in this chapter are determination of global scale and rotational differences between two images by the scale-invariant feature transform (SIFT) and log-polar mapping.

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Title: Image Descriptors
Author: Prof. A. Ardeshir Goshtasby
Publisher: Springer London
Book: Image Registration
Print ISBN: 978-1-4471-2457-3

Electronic ISBN: 978-1-4471-2458-0

Copyright Year: 2012
DOI: https://doi.org/10.1007/978-1-4471-2458-0_5

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