Two approaches to 3D microorganism recognition using single exposure online (SEOL) digital holography

Seokwon Yeom, Inkyu Moon, Bahram Javidi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Pattern recognition in images has broad applications from biometric identi-fication to automatic target recognition (ATR). Optoelectronic imaging and processing has been studied to identify unknown targets in scenes [1–24]. Increased interests in three-dimensional (3D) information processing for pattern recognition are well reflected in the literature [8–24]. For example, digital holography has been utilized for object recognition and image encryption [10–22]. Applications in 3D integral imaging have been extended to ATR as well as depth estimation [23, 24].

Original languageEnglish
Title of host publicationAdvanced Sciences and Technologies for Security Applications
PublisherSpringer
Pages175-194
Number of pages20
DOIs
StatePublished - 2007

Publication series

NameAdvanced Sciences and Technologies for Security Applications
Volume3
ISSN (Print)1613-5113
ISSN (Electronic)2363-9466

Bibliographical note

Publisher Copyright:
© Springer 2007.

Keywords

  • Digital Hologram
  • Digital Holography
  • Image Encryption
  • Reference Shape
  • Unknown Input

Fingerprint

Dive into the research topics of 'Two approaches to 3D microorganism recognition using single exposure online (SEOL) digital holography'. Together they form a unique fingerprint.

Cite this