White Blood Cell Nucleus Segmentation Based on Canny Level Set

Qiu Wenhua; Wang Liang; Qiu Zhenzhen
October 2014
Sensors & Transducers (1726-5479);Oct2014, Vol. 180 Issue 10, p85
Academic Journal
Cell image segmentation is an important study direction and white blood cell composition reveals important diagnostic information about the patients. Manually counting of white blood cells is a tiresome, time-consuming and susceptible to error procedure. Due to the tedious nature of this process, an automatic system is preferable. In this automatic process, segmentation of white blood cells is one of the most important stages. In order to solve problems of the traditional method for cell segmentation, a method of level-set 3D segmentation for White blood cells was proposed using canny. The Level-set segmentation was based on geometric active contour models instead of parameter active contour models. The method overcame the obscurity of white blood cells' boundary by taking advantage of the structure of conforming anatomic arrange of threshold. Further, the initial segmented results preprocessed were applied using anisotropic diffusion and the real border of cell was detected using canny. Finally, the cell was finely segmented using the level-set method. Thus, the segmentation of white blood cells could be done more accurately.


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