Studying Image Segmentation Based on Markov Random Field
Danqing Jin · Journal of Ningbo Institute of Education · 2012
The theory of Markov Random Field(MRF) has now been widely used in the computer vision and image processing,it is mainly used by a relatively convenient way to describe the probability of pixels between each image has the number of space-related features.In this paper we mainly studied one model based on MRF——the Conditional Random Fields(CRFs) and its application in image segmentation.