Determination of exact rotation angle and discrimination for rotated images
The complex frequency scaling property of Fourier transforms may be very effective for the determination of exact image rotation angle in application areas such as defense, manufacturing agriculture and commerce. In this paper, we exploit the complex frequency scaling property of Fourier transform t...
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| Published in: | Optics and laser technology Vol. 34; no. 4; pp. 313 - 327 |
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| Format: | Journal Article |
| Language: | English |
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01-06-2002
Elsevier Science |
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| Abstract | The complex frequency scaling property of Fourier transforms may be very effective for the determination of exact image rotation angle in application areas such as defense, manufacturing agriculture and commerce. In this paper, we exploit the complex frequency scaling property of Fourier transform to determine the exact angle of rotation of a target image with respect to reference image. We also investigate the validity of the developed algorithm using occluded target images. Further, we extend our algorithm to differentiate between different but similar rotated target images. We use both gray scale and DARPA's moving and stationary target recognition program's synthetic aperture radar images to validate our algorithm. |
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| AbstractList | The complex frequency scaling property of Fourier transform is exploited to determine the exact angle of rotation of a target image with respect to a reference image. Also, the validity of the developed algorithm is investigated, using occluded target images. The algorithm is then extended to differentiate between different but similar rotated target images. Both grey scale and DARPA's moving and stationary target recognition program's synthetic aperture radar images are used to validate the algorithm. (Original abstract - amended) The complex frequency scaling property of Fourier transforms may be very effective for the determination of exact image rotation angle in application areas such as defense, manufacturing agriculture and commerce. In this paper, we exploit the complex frequency scaling property of Fourier transform to determine the exact angle of rotation of a target image with respect to reference image. We also investigate the validity of the developed algorithm using occluded target images. Further, we extend our algorithm to differentiate between different but similar rotated target images. We use both gray scale and DARPA's moving and stationary target recognition program's synthetic aperture radar images to validate our algorithm. |
| Author | Dani, A. Rentala, C. Iftekharuddin, K.M. |
| Author_xml | – sequence: 1 givenname: K.M. surname: Iftekharuddin fullname: Iftekharuddin, K.M. email: iftekhar@memphis.edu organization: Department of Electrical and Computer Engineering, The University of Memphis, 214 Engineering Science Building, Memphis, TN 38018, USA – sequence: 2 givenname: C. surname: Rentala fullname: Rentala, C. organization: Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND 58105, USA – sequence: 3 givenname: A. surname: Dani fullname: Dani, A. organization: Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND 58105, USA |
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| Cites_doi | 10.1117/12.341056 10.1117/12.357686 10.1016/0031-3203(94)00097-6 10.1109/ICIP.1998.727326 10.1117/12.408559 10.1109/78.840000 10.1016/S0031-3203(98)00079-X 10.1109/34.632980 10.1049/el:20001138 10.1117/12.242059 10.1109/97.923042 10.1364/AO.15.001795 10.1117/1.600717 10.1109/51.805143 10.1364/AO.23.000841 10.1145/146370.146374 10.1109/ICCV.1995.466787 10.1109/81.917976 10.1016/S0165-1684(97)00061-3 10.1364/AO.19.001190 10.1117/12.357681 10.1117/1.601921 10.1016/S0031-3203(00)00033-9 10.1117/12.55953 10.1190/1.1441612 |
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| Keywords | Hilbert transform Image processing Synthetic aperture radar (SAR) image Fourier transform Feature extraction Pattern recognition Automatic target recognition (ATR) Edge detection Fourier transformation Algorithms Gray scale Theoretical study Synthetic-aperture radar Rotation angle Target detection Hilbert transformation |
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translation variations publication-title: Opt Eng doi: 10.1117/1.601921 contributor: fullname: Diab – volume: 34 start-page: 855 year: 2001 ident: 10.1016/S0030-3992(02)00020-8_BIB24 article-title: The influence of edge direction on the estimation of edge contrast and orientation publication-title: Pattern Recog doi: 10.1016/S0031-3203(00)00033-9 contributor: fullname: Ziou – volume: 30 start-page: 1601 year: 1991 ident: 10.1016/S0030-3992(02)00020-8_BIB6 article-title: Generalized in-plane rotation-invariant minimum average correlation energy filter publication-title: Opt Eng doi: 10.1117/12.55953 contributor: fullname: Ravichandran – volume: 49 start-page: 2019 year: 1984 ident: 10.1016/S0030-3992(02)00020-8_BIB11 article-title: The principle of complex frequency scaling—applicability in inclined continuation of potential fields publication-title: Geophysics doi: 10.1190/1.1441612 contributor: fullname: Nagendra |
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| Snippet | The complex frequency scaling property of Fourier transforms may be very effective for the determination of exact image rotation angle in application areas... The complex frequency scaling property of Fourier transform is exploited to determine the exact angle of rotation of a target image with respect to a reference... |
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| SubjectTerms | Automatic target recognition (ATR) Edge detection Exact sciences and technology Feature extraction Fourier transform Fundamental areas of phenomenology (including applications) Hilbert transform Image forming and processing Image processing Imaging and optical processing Optics Pattern recognition Physics Synthetic aperture radar (SAR) image |
| Title | Determination of exact rotation angle and discrimination for rotated images |
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