Application of Fractal Encoding Techniques for Image Segmentation

Regina K. Ferrell, Shaun S. Gleason, Kenneth W. Tobin

Research output: Contribution to journalConference articlepeer-review

11 Scopus citations

Abstract

Fractal encoding is the first step in fractal based image compression techniques, but this technique can also be useful outside the image compression field. This paper discusses a fractal encoding technique and some of its variations adapted to the concept of segmenting anomalous regions within an image. The primary goal of this paper is to provide background information on fractal encoding and show application examples to equip the researcher with enough knowledge to apply this technique to other image segmentation applications. After a brief overview of the algorithm, important parameters for successful implementation of fractal encoding are discussed. Included in the discussion is the impact of image characteristics on various parameters or algorithm implementation choices in the context of two applications that have been successfully implemented.

Original languageEnglish
Pages (from-to)69-77
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5132
DOIs
StatePublished - 2003
EventSixth International Conference on Quality Control by Artificial Vision - Gatlinburg, TN, United States
Duration: May 19 2003May 22 2003

Keywords

  • Defect detections data reduction
  • Fractal encoding
  • Segmentation

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