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Proceedings Paper

Fast algorithm for boundary detection of microscopic medical images
Author(s): Luping Xu; Yae Zhao
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Paper Abstract

A major problem in medical image aided diagnostic system is the segmentation of image acquired scenes in order to understand their content through image analysis. This paper presents a fast algorithm for the image segmentation, especially boundary detection of microscope-medical image. The algorithm consists of three steps: (1) reduce the image noise by using a Gaussian-smoothing operator; (2) detect the edge by using a fast method based on fuzzy sets; (3) follow the boundary contour and remove the foreign bodies in the image. The fast algorithm has been tested on real microscope-medical image. The experimental results show that the method is fast and accurate.

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: 10.1117/12.323585
Show Author Affiliations
Luping Xu, Xidian Univ. (China)
Yae Zhao, Xi'an Medical Univ. (China)


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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