Fast algorithm for boundary detection of microscopic medical images

Luping Xu; Yae Zhao

doi:10.1117/12.323585

25 September 1998 Fast algorithm for boundary detection of microscopic medical images

Luping Xu, Yae Zhao

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323585
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

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.

Citation Download Citation

Luping Xu and Yae Zhao "Fast algorithm for boundary detection of microscopic medical images", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323585

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