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Review on Feature Extraction for 3-D Incoherent Image Processing Using Optical Scanning Holography

  • Yaping Zhang
  • , Ting-Chung Poon
  • , Peter W. M. Tsang*
  • , Rande Wang
  • , Lin Wang
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The advancement of digital holography in the past two decades has enabled precise capturing of three-dimensional (3-D) images of physical objects. This important technology has been widely applied in numerous industrial sectors such as, but not limited to remote sensing, metrology, biomedical imaging, advertising, and entertainment. Most of the hologram acquisition techniques developed to date is employing digital cameras for recording the hologram, hence imposing rigid restrictions on the size and resolution of the captured 3-D image. This limitation, however, is not found in optical scanning holography (OSH). Based on a scanning mechanism and a single pixel sensor, OSH is capable of capturing digital holograms of both macroscopic and microscopic, as well as fluorescent objects with high precision. Since its invention in the late 70s, numerous research works have been conducted to enhance this technology, optimizing important factors such as acquisition speed, precision, data size, and security. The objective of this article is to provide a walkthrough of the state-of-the-art of the OSH technology, from its original principle, to different variants that have been developed over the years with emphasis on their feature extraction capabilities under the incoherent mode of operation. Whenever possible, we shall provide the key formulations of each approach, and experimental outcomes for demonstrating the pros and cons of the method.
Original languageEnglish
Article number8822497
Pages (from-to)6146-6154
JournalIEEE Transactions on Industrial Informatics
Volume15
Issue number11
Online published2 Sept 2019
DOIs
Publication statusPublished - Nov 2019

Research Keywords

  • Anisotropic edge detection
  • annular pupil
  • feature extraction
  • generalized two-pupil image processing system
  • optical scanning holography (OSH)
  • spiral-phase pupil

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