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Image Change Detection using Discrete Fractional Fourier Transform along with Intensity Normalization and Thresholding

by Batish Vij, Kulbir Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 7
Year of Publication: 2015
Authors: Batish Vij, Kulbir Singh
10.5120/19841-1698

Batish Vij, Kulbir Singh . Image Change Detection using Discrete Fractional Fourier Transform along with Intensity Normalization and Thresholding. International Journal of Computer Applications. 113, 7 ( March 2015), 41-45. DOI=10.5120/19841-1698

@article{ 10.5120/19841-1698,
author = { Batish Vij, Kulbir Singh },
title = { Image Change Detection using Discrete Fractional Fourier Transform along with Intensity Normalization and Thresholding },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 7 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 41-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number7/19841-1698/ },
doi = { 10.5120/19841-1698 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:21.970598+05:30
%A Batish Vij
%A Kulbir Singh
%T Image Change Detection using Discrete Fractional Fourier Transform along with Intensity Normalization and Thresholding
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 7
%P 41-45
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research paper describes an image change detection method based upon the Discrete Fractional Fourier transform (DFrFT) along with intensity normalization and thresholding. DFrFT is used as it provides extra degree of freedom to detect accurate changed regions. The use of intensity normalization and thresholding ensure that change is based on appearance or disappearance of objects only, with removal of artifacts like illumination variations, partial translation, large daylight change and shadowing effect etc. In this paper using precision as parameter of evaluation DFrFT along with intensity normalization and thresholding produces better results than 'DFrFT only' method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image change detection Discrete Fractional Fourier Transform artifacts intensity normalization thresholding

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