Application of fractal encoding techniques for image segmentation

Regina K. Ferrell; Shaun S. Gleason; Kenneth W. Tobin Jr.

doi:10.1117/12.514943

1 May 2003 Application of fractal encoding techniques for image segmentation

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

Proceedings Volume 5132, Sixth International Conference on Quality Control by Artificial Vision; (2003) https://doi.org/10.1117/12.514943
Event: Quality Control by Artificial Vision, 2003, Gatlinburg, TE, United States

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.

Citation Download Citation

Regina K. Ferrell, Shaun S. Gleason, and Kenneth W. Tobin Jr. "Application of fractal encoding techniques for image segmentation", Proc. SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision, (1 May 2003); https://doi.org/10.1117/12.514943

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