Title

Segmentation Of Texture Images Using Fractal Transformations

Abstract

This paper presents an approach to textured image segmentation based on a combination of fractal features. The traditional fractal dimension obtained from the original and pre-processed images and is combined with fractal transformation coefficients. The latter are extracted using methodologies from image compression using Iterated Function Systems (IFS). Experiments have shown that coefficients used in IFS for image reconstruction can also be used as segmentation and classification features. Experimental results with various natural texture mosaics will be presented.

Publication Date

1-1-2000

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

4044

Number of Pages

45-51

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0033698041 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0033698041

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