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Related Experiment Video

Updated: May 29, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

Fourier encoding of closed planar boundaries.

G S Zabele1, J Koplowitz

  • 1Department of Electrical and Computer Engineering, Clarkson University, Potsdam, NY 13676.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary

This study models closed planar curves using a circular Gaussian autoregressive source and develops efficient encoding schemes. The research establishes a sampling criterion and a transform encoding method for optimal data compression.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Information Theory

Background:

  • Closed planar curves are fundamental in computer graphics and image analysis.
  • Existing encoding schemes for curve data can be computationally intensive.
  • The circular Gaussian autoregressive (CGAR) model offers a probabilistic approach to representing such curves.

Purpose of the Study:

  • To develop efficient encoding schemes for closed planar curves modeled by CGAR sources.
  • To establish theoretical bounds for data compression of curve representations.
  • To propose a computationally efficient transform encoding scheme.

Main Methods:

  • Utilizing rate-distortion theoretic techniques to derive optimal encoding bounds.
  • Quantizing Fourier coefficients of the curve boundary separately.
  • Developing and analyzing parametric equations for encoding bounds.

Main Results:

  • Parametric equations for the optimal encoding bound were derived.
  • A sampling criterion for efficient curve representation was established.
  • A computationally efficient transform encoding scheme for the suboptimal class was proposed and evaluated.

Conclusions:

  • The proposed transform encoding scheme provides an efficient method for compressing closed planar curves.
  • The established sampling criterion aids in optimizing data representation.
  • The study contributes to the theoretical understanding of encoding bounds for CGAR-modeled curves.