The Study of White-Light Optical Image Subtraction for Possible Application to Missile Tracking and Identification.

Abstract

In this study, the coherence requirement for an incoherent image subtraction processor is analyzed, with the partial coherence theory of Wolf. We have shown that image subtraction operation is basically a 1-D processing operation and the spatial coherence requirement is a point pair concept. A source encoding mask can be utilized to alleviate the constraint of a physical light source, such that the image subtraction can be carried out with extended incoherent source. We have also in this study demonstrated the possibility of utilizing the image subtraction technique as applied to micro-circuit board inspection, which would have a profound effect on precision inspection scheme for large scale automatic assembly for U.S. Army needs and her supporting industries. This technique would provide the capability of rapid identification inspection, and possibly utilizing for synthesis and fabrication. The effects due to coherence requirement are also included. Experimental simulations of the IC chip inspection are provided. Keywords include: Optical signal processor, image subtraction, white-light optical processing, missile tracking and identification, and optical signal detection.

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Document Details

Document Type
Technical Report
Publication Date
Mar 25, 1983
Accession Number
ADA154816

Entities

People

  • F. T. S. Yu

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Coding
  • Detection
  • Detectors
  • Electrical Engineering
  • Focal Planes
  • Frequency
  • Gratings (Spectra)
  • Information Processing
  • Lasers
  • Light Sources
  • Optical Images
  • Optical Processing
  • Optics
  • Three Dimensional
  • Transfer Functions
  • Two Dimensional
  • White Light

Fields of Study

  • Engineering
  • Physics

Readers

  • Integrated Circuit Design and Technology.
  • Optical Physics and Photonics.
  • Radio communications and signal processing.