Recognition and classification of three-dimensional phase objects by digital Fresnel holography
Applied Optics, Vol. 45, Issue 17, pp. 4046-4053 (2006)
http://dx.doi.org/10.1364/AO.45.004046
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Abstract
We demonstrate the validity of wavelet-based processing for recognition and classification of three-dimensional phase objects. One Fresnel digital hologram of each of the three-dimensional (3-D) phase objects to be classified is recorded. The electronic holograms are processed digitally to permit 3-D object information to be retrieved as two-dimensional digital complex images. We use a Mexican-hat wavelet- matched filter (WMF) to enhance the correlation peak and discriminate between the objects. The WMF performs a wavelet transform (WT) to enhance the significant features of the images and the correlation of the WT coefficients thus obtained. We compare the feasibility of a WMF-based object classifier with the matched-filter-based classifier to classify our four 3-D phase objects in a 3-D scene into true or false classes with minimal error.
© 2006 Optical Society of America
OCIS Codes
(070.5010) Fourier optics and signal processing : Pattern recognition
(070.6110) Fourier optics and signal processing : Spatial filtering
(090.1760) Holography : Computer holography
(100.6890) Image processing : Three-dimensional image processing
(100.7410) Image processing : Wavelets
(200.3050) Optics in computing : Information processing
History
Original Manuscript: November 8, 2005
Revised Manuscript: January 17, 2006
Manuscript Accepted: January 19, 2006
Citation
Anith Nelleri, Joby Joseph, and Kehar Singh, "Recognition and classification of three-dimensional phase objects by digital Fresnel holography," Appl. Opt. 45, 4046-4053 (2006)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-45-17-4046
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