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Proceedings Paper

Segmentation of medical ultrasonic image using fractal
Author(s): Tianfu Wang; Deyu Li; Changqiong Zheng; Yi Zheng
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Paper Abstract

Image segmentation is one of the most difficult problems in multidimensional reconstruction of medical ultrasonic images. A new method for segmentation of medical ultrasonic images based on fractal dimension Lacunarity is presented in this paper. As fractal features have drawbacks of less number and great redundancy, we developed a method to extend the features combining with micromasks. Experimental results show that our method can enhance the description ability of fractal features and segment the images efficiently.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323577
Show Author Affiliations
Tianfu Wang, Sichuan Union Univ. (China)
Deyu Li, Sichuan Union Univ. (China)
Changqiong Zheng, Sichuan Union Univ. (China)
Yi Zheng, St. Cloud State Univ. (United States)

Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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