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A robust filtering algorithm for subpixel reconstruction of chain coded line drawings.

J Koplowitz1, A P Raj

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

IEEE Transactions on Pattern Analysis and Machine Intelligence
|April 21, 2012
PubMed
Summary

This study introduces a robust algorithm for smoothing chain coded line drawings, achieving subpixel accuracy without removing sharp corners. The method offers fast implementation and a simplified version for digitized polygons.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Geometry

Background:

  • Chain coded line drawings are a common representation in digital graphics.
  • Existing reconstruction methods may struggle with accuracy or preserving sharp features.
  • Subpixel accuracy is crucial for high-fidelity image reconstruction.

Purpose of the Study:

  • To present a robust algorithm for smoothing and reconstructing chain coded line drawings.
  • To achieve subpixel accuracy in the reconstruction process.
  • To develop an algorithm that preserves sharp corners and requires no prior statistical knowledge.

Main Methods:

  • A novel algorithm for smoothing chain coded line drawings.
  • Implementation utilizing table look-up for fast on-line processing.
  • Development of a simplified algorithm variant for digitized polygons.

Main Results:

  • The algorithm successfully smooths chain coded line drawings.
  • Subpixel accuracy is achieved in the reconstruction.
  • Sharp corners are preserved, unlike in some existing methods.
  • A fast on-line implementation is demonstrated.

Conclusions:

  • The presented algorithm offers a robust and accurate method for reconstructing chain coded line drawings.
  • Its ability to preserve sharp features and achieve subpixel accuracy makes it valuable for digital graphics applications.
  • The fast implementation and simplified version enhance its practical utility.