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Proceedings Paper

Texture Analysis In Cytology Using Fractals
Author(s): S. Basu; J. Barba; K. S. Chan
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Paper Abstract

We present some preliminary results of a study aimed to assess the actual effectiveness of fractal theory in the area of medical image analysis for texture description. The specific goal of this research is to utilize "fractal dimension" to discriminate between normal and cancerous human cells. In particular, we have considered four types of cells namely, breast, bronchial, ovarian and uterine. A method based on fractal Brownian motion theory is employed to compute the "fractal dimension" of cells. Experiments with real images reveal that the range of scales over which the cells exhibit fractal property can be used as the discriminatory feature to identify cancerous cells.

Paper Details

Date Published: 30 January 1990
PDF: 12 pages
Proc. SPIE 1153, Applications of Digital Image Processing XII, (30 January 1990); doi: 10.1117/12.962330
Show Author Affiliations
S. Basu, City University of New York (United States)
J. Barba, City University of New York (United States)
K. S. Chan, City University of New York (United States)


Published in SPIE Proceedings Vol. 1153:
Applications of Digital Image Processing XII
Andrew G. Tescher, Editor(s)

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