Computation of orthogonal Fourier-Mellin moments in two coordinate systems
JOSA A, Vol. 26, Issue 5, pp. 1080-1084 (2009)
http://dx.doi.org/10.1364/JOSAA.26.001080
Enhanced HTML 
Acrobat PDF (206 KB)
Abstract
The computing method for orthogonal Fourier–Mellin moments in a polar coordinate system is presented in detail. The image expressed in a Cartesian system has to be transformed into a polar coordinate system first when we calculate the orthogonal Fourier–Mellin moments of the image in a polar coordinate system, which will increase both computational complexity and error. To solve the problem, a new direct computing method for orthogonal Fourier–Mellin moments in a Cartesian coordinate system is proposed, which can avoid the image transformation between two coordinate systems and eliminate the rounding error in coordinate transformation and decrease the computational complexity.
© 2009 Optical Society of America
OCIS Codes
(100.0100) Image processing : Image processing
(100.4994) Image processing : Pattern recognition, image transforms
ToC Category:
Image Processing
History
Original Manuscript: December 18, 2008
Revised Manuscript: February 16, 2009
Manuscript Accepted: February 21, 2009
Published: April 1, 2009
Citation
Hai-tao Hu and Ping Zi-liang, "Computation of orthogonal Fourier-Mellin moments in two coordinate systems," J. Opt. Soc. Am. A 26, 1080-1084 (2009)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-26-5-1080
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
Related Journal Articles 
- Semi-Supervised subspace learning for Mumford-Shah model based texture segmentation (OE)
- Kernel wavelet-Reed–Xiaoli: an anomaly detection for forward-looking infrared imagery (AO)
- Subspace learning for Mumford–Shah-model-based texture segmentation through texture patches (AO)
- Using Scattering to Identify Bacterial Pathogens (OPN)
- Efficient object detection and tracking in video sequences (JOSAA)
Related Conference Papers
- Off-Axis Adaptive Optics with Optimal Control: Laboratory Validation
- Post-Coronagraph Wavefront Sensing Using Pupil Imaging and Phase-Diversity
- Joint Estimation of Amplitude and Phase from Phase-Diversity Data
- Scratch Detection on Spherical Lenses Using Specular Reflection and Fourier Descriptors
- A New Phase-Correlation Based Gradient Registration Approach for Phase-Retrieval with DIC and DPC
« Previous Article | Next Article »
OSA is a member of 