Local and global Gaussian mixture models for hematoxylin and eosin stained histology image segmentation

2010 10th International Conference on Hybrid Intelligent Systems, HIS 2010

Volumn , Issue , 2010, Pages 223-228

  He, Lei ^a   Long, L Rodney ^a   Antani, Sameer ^a   Thoma, George R ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Clustering; Gaussian mixture model; Histology; Image segmentation

Indexed keywords

CLUSTERING; COLOR SPACE; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODELS; GLOBAL CLUSTERING; HISTOLOGY IMAGES; INPUT IMAGE; K-MEANS CLUSTERING; LEVEL SET METHOD; RED , GREEN AND BLUES;

BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); GAUSSIAN DISTRIBUTION; HISTOLOGY; IMAGE ENHANCEMENT; INTELLIGENT SYSTEMS; NUMERICAL METHODS; OBJECT RECOGNITION;

IMAGE SEGMENTATION;

EID: 78650121450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HIS.2010.5600019     Document Type: Conference Paper

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