Title :
An MRF Model for Biomedical Image Segmentation
Author :
Daekeun You ; Antani, Sameer ; Demner-Fushman, Dina ; Thoma, George R.
Author_Institution :
Nat. Libr. of Med., Nat. Inst. of Health, Bethesda, MD, USA
Abstract :
We propose a Markov random field (MRF)-based method to segment photographic biomedical images into three image sub-regions, viz., tissue, photo, and background. Segmentation results are then used to extract local and global visual features to separate images with tissue, such as endoscopic images, from general photographs.
Keywords :
Markov processes; feature extraction; image retrieval; image segmentation; medical image processing; random processes; MRF model; MRF-based method; Markov random field-based method; background region; biomedical image segmentation; global visual feature extraction; image subregions; local visual feature extraction; photo region; photographic biomedical image segmention; tissue region; Biomedical imaging; Endoscopes; Feature extraction; Image color analysis; Image segmentation; Nickel; Vectors;
Conference_Titel :
Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on
Conference_Location :
New York, NY
DOI :
10.1109/CBMS.2014.128
