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Feature Point Extraction from the Local Frequency Map of an Image
Joint Authors
Adhami, Reza
Khan, Jesmin
Bhuiyan, Sharif
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-14
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
We propose a novel technique for detecting rotation- and scale-invariant interest points from the local frequency representation of an image.
Local or instantaneous frequency is the spatial derivative of the local phase, where the local phase of any signal can be found from its Hilbert transform.
Local frequency estimation can detect edge, ridge, corner, and texture information at the same time, and it shows high values at those dominant features of an image.
For each pixel, we select an appropriate width of the window for computing the derivative of the phase.
In order to select the width of the window for any given pixel, we make use of the measure of the extent to which the phases, in the neighborhood of that pixel, are in the same direction.
The local frequency map, thus obtained, is then thresholded by employing a global thresholding approach to detect the interest or feature points.
Repeatability rate, a performance evaluation criterion for an interest point detector, is used to check the geometric stability of the proposed method under different transformations.
We present simulation results of the detection of feature points from image utilizing the suggested technique and compare the proposed method with five existing approaches that yield good results.
The results prove the efficacy of the proposed feature point detection algorithm.
Moreover, in terms of repeatability rate; the results show that the performance of the proposed method with respect to different aspect is compatible with the existing methods.
American Psychological Association (APA)
Khan, Jesmin& Bhuiyan, Sharif& Adhami, Reza. 2012. Feature Point Extraction from the Local Frequency Map of an Image. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-452492
Modern Language Association (MLA)
Khan, Jesmin…[et al.]. Feature Point Extraction from the Local Frequency Map of an Image. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-452492
American Medical Association (AMA)
Khan, Jesmin& Bhuiyan, Sharif& Adhami, Reza. Feature Point Extraction from the Local Frequency Map of an Image. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-452492
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-452492