Biomedical image processing and analysis using Markov Random Fields

Biomedical image processing is an emerging and most challenging field in recent years. Large sets of similar images are produced by medical imaging applications. Manual image interpretation and analysis becomes a fastidious task due to the huge amount of data. In medical image processing, to classify an image on the basis of statistical inference, MRF classification is a well established method. In this paper we have discussed some key ideas related to Markov Random Field (MRF) and few requisites used in the perspective of issues of medical image analysis.