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
Full Article | PDF ArticleMore Like This
Yann Frauel, Enrique Tajahuerce, Maria-Albertina Castro, and Bahram Javidi
Appl. Opt. 40(23) 3887-3893 (2001)
Enrique Tajahuerce, Osamu Matoba, and Bahram Javidi
Appl. Opt. 40(23) 3877-3886 (2001)
Bahram Javidi and Daesuk Kim
Opt. Lett. 30(3) 236-238 (2005)