BIOMEDICAL IMAGE PROCESSING AND ANALYSIS USING MARKOV RANDOM FIELDS

被引：0

作者：

Shaikh, Riaz Ahmed ^{[1
]}

Li, Jian-Ping ^{[1
]}

Khan, Asif ^{[1
]}

Memon, Imran ^{[2
]}

机构：

[1] UESTC, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China

[2] Zhejiang Univ, Coll Comp Sci, Hangzhou 31002, Zhejiang, Peoples R China

来源：

2015 12TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2015年

基金：

国家高技术研究发展计划(863计划); 中国国家自然科学基金;

关键词：

Medical Image Analysis; Markov Random Fields (MRFs); Segmentation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 weil 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.

引用

页码：179 / 183

页数：5

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