Object Identification and Manipulation Using Silhouette Moments.

Abstract

The theory of silhouette moments are presented along with results for classifying clean and noisy images. Noise reduction by image averaging is examined comparatively in image and moment spaces. Results are presented for classifications using subsets of the complete moment set. An inverse moment transform procedure is developed and demonstrated. Keywords include: Shape analysis; moments; Fourier descriptors; pattern recognition; noise reduction; FLIR imagery; silhouette imagery; inverse moment transform; Legendre moments; image averaging; moment subset classification; six airplane experiment; aspect ratio normalization; variance balancing.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1985
Accession Number
ADA154755

Entities

People

  • A. P. Reeves
  • R. W. Taylor

Organizations

  • Cornell University College of Engineering

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Airplanes
  • Aspect Ratio
  • Classification
  • Computer Vision
  • Data Sets
  • Databases
  • Electrical Engineering
  • Identification
  • Image Processing
  • Image Reconstruction
  • Noise
  • Noise Reduction
  • Object Recognition
  • Pattern Recognition
  • Recognition
  • Three Dimensional

Readers

  • Approximation Theory.
  • Computer Vision.
  • Control Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space
  • Space - Space Objects
  • Space - Spacecraft Maneuvers