STATISTICAL IMAGE RECOGNITION CONCEPT (OSIRIS).

Abstract

The initial process in a system for the machine recognition of imagery is an operation which produces a model or transformation which is characteristic of a particular image or class of images. This model, or transformation, is subsequently processed in a machine to produce a signal which indicates that the input image is, or is not, to some degree of probability, a particular example of a desired image or class of images. An initial PsubF(d) transformation of optical imagery was investigated at some length. Analytical expressions are obtained for the PsubF(d) transformations of rectangular figures and circles. A machine program was devised which produced PsubF(d) transformations for a more general universe of imagery. The PsubF(d) transformations thus produced are subjected to an analysis which shows the transformation to be a valid technique for the recognition of imagery both as to class membership and discrimination between images of the same class. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 29, 1962
Accession Number
AD0634514

Entities

People

  • G. R. Tenery

Organizations

  • Vought

Tags

DTIC Thesaurus Topics

  • Discrimination
  • Identification
  • Image Processing
  • Image Recognition
  • Mathematics
  • Probability
  • Recognition

Readers

  • Computer Vision.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference