Color Cell Image Segmentation Based on Chan-Vese Model for Vector-Valued Images
558
5. Conclusion
This paper develops a color cervical cell image segmen-
tation method to segment the nucleus and cell cytoplasm
from a cervical smear image. In this paper, a coarse seg-
mentation method using auto-dual threshold segmenta-
tion method has been used firstly and region of interest
has been extracted. Then fine segmentation based on modi-
fied Chan-Vese model has been used in which two inde-
pendent level set functions have been used to approxi-
mate the boundary between nucleus and cytoplasm and
the boundary between cell body and background. On the
basis of gray scale cell segmentation method, we pro-
posed a color cell image segmentation method using
modified C-V model for vector-valued images. The nu-
merical simulation results are given to demonstrate the
validity and accuracy of the proposed method. It’s ob-
served that the proposed color cervical cell image seg-
mentation methods provide a good performance even the
original image has a vague boundary. Besides cervical
smear images, these proposed techniques can be employ-
ed to other color mages segmentation.
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