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Recognition and classification of three-dimensional phase objects by digital Fresnel holography
, J. Joseph, K. Singh
Published in OSA - The Optical Society
PMID: 16761044
Volume: 45
Issue: 17
Pages: 4046 - 4053
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.
About the journal
JournalData powered by TypesetApplied Optics
PublisherData powered by TypesetOSA - The Optical Society
Impact Factor1.230
Citation Styleunsrt
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