The Brain Image Segmentation by Markov Field and Normal Distribution Curve

Because of magnetic resonance images (MRI) was impacted of thermal/electrical noise, we found that the distribution of the brain tissue is normal distribution according to the observation and study. This paper presents a theory based on Markov field to extract brain tissue and used fuzzy clustering theory to build a normal distribution curve on the histogram of the brain tissue image to segmentation MRI. This paper is divided into two parts: First of all, using simulated annealing based on Markov random field to obtain global energy minimization of the brain image then using threshold method extract objectives( brain bone and brain tissue ) and background; Secondly, using the histogram and fuzzy clustering method to build a normal distribution curve to achieve a better segmentation result.