Title :
Feature Extraction for Classification from Images: A Look at the Retina
Author :
Chui, Foon Chi Francis ; Bindoff, Ivan ; Williams, Raymond ; Byeong Ho Kang
Author_Institution :
Univ. of Tasmania, Hobart, TAS
Abstract :
A method is proposed for the representation of localised features using disjoint sub-images taken from several datasets of retinal images for use within an incremental learning system. A tile-based localised adaptive threshold selection method was taken for vessel segmentation based on separate colour components. Arteriole-venous differentiation was done using the composite of these components and high quality fundal images. Vessel segmentation performance was evaluated on the DRIVE and STARE datasets achieving average specificity of 0.9379 and sensitivity of 0.5924.
Keywords :
eye; feature extraction; image classification; image colour analysis; image representation; image segmentation; learning (artificial intelligence); medical image processing; DRIVE dataset; STARE dataset; arteriole-venous differentiation; colour component; feature extraction; image classification; image representation; incremental learning system; quality fundal image; retinal image; tile-based localised adaptive threshold selection method; vessel segmentation; Biomedical imaging; Biomedical optical imaging; Blood; Clinical diagnosis; Feature extraction; Image segmentation; Learning systems; Optical sensors; Retina; Veins; analysis; drive; fundal; image; mcrdr; retina; retinal; segmentation; stare; vessel;
Conference_Titel :
Ubiquitous Multimedia Computing, 2008. UMC '08. International Symposium on
Conference_Location :
Hobart, ACT
Print_ISBN :
978-0-7695-3427-5
DOI :
10.1109/UMC.2008.27
