In view of the current misdivision of medical cell image segmentation and the low time efficiency of human subjective factors
an automatic image segmentation method based on Markov Random Field (MRF) based on Chinese restaurant process was proposed. Firstly
the image was denoised. Then
the Markov random field was automatically determined using the unsupervised mode of the Chinese restaurant process. Finally
the conditional iteration mode (ICM) method was used to implement MRF image segmentation and its oral mucosal cell image
and compared with traditional Markov random field image segmentation and three different cell image segmentation methods. The results show that the method proposed in this paper does not need to estimate the parameter values in advance
and it can reach more than 96% in accuracy. The algorithm can basically find the binucleate and micronucleus cells to be segmented accurately by using this algorithm
which will lay a foundation for the later cell image recognition. The effective solution to segmentation is subject to subjective factors and poor accuracy.
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references
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