Segmentation of retinal blood vessels using gaussian mixture models and expectation maximisation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7798 LNCS, Issue , 2013, Pages 105-112

  Kaba, Djibril ^a   Salazar Gonzalez, Ana G ^a   Li, Yongmin ^a   Liu, Xiaohui ^a   Serag, Ahmed ^b  

^a BRUNEL UNIVERSITY   (United Kingdom)

^b CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

Author keywords

bias correction; expectation maximisation; matched filter; Retinal image; vessel segmentation

Indexed keywords

AUTOMATED METHODS; BIAS CORRECTION; EXPECTATION-MAXIMISATION; GAUSSIAN MIXTURE MODEL; INTENSITY INHOMOGENEITY; RETINAL BLOOD VESSELS; RETINAL IMAGE; VESSEL SEGMENTATION;

ALGORITHMS; BLOOD VESSELS; DIAGNOSIS; INFORMATION SCIENCE; MATCHED FILTERS; OPHTHALMOLOGY;

IMAGE SEGMENTATION;

EID: 84875868350     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37899-7_9     Document Type: Conference Paper

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