title: Recognition and classification of three-dimensional phase objects by digital Fresnel holography.
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.
authors.affiliation: Photonics Group, Department of Physics, Indian Institute of Technology, Delhi, New Delhi, India.
authors.forename: Anith
authors.initials: A
authors.lastname: Nelleri
authors.forename: Joby
authors.initials: J
authors.lastname: Joseph
authors.forename: Kehar
authors.initials: K
authors.lastname: Singh
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006696:Holography / Q000379:methods*; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012031:Refractometry / Q000379:methods*