Title :
Biomedical image processing and analysis using Markov Random Fields
Author :
Riaz Ahmed Shaikh;Jian-Ping Li;Asif Khan;Imran Memon
Author_Institution :
School of Computer Science & Engineering, UESTC, Chengdu 611731, China
Abstract :
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.
Keywords :
"Image segmentation","Medical diagnostic imaging","Hidden Markov models","Markov random fields","Algorithm design and analysis","Image analysis"
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2015 12th International Computer Conference on
DOI :
10.1109/ICCWAMTIP.2015.7493970