Fast algorithm for boundary detection of microscopic medical images
Luping Xu, Yae Zhao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
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.