TY - GEN
T1 - Multi-scale superpixel classification for optic cup localization
AU - Tan, Ngan Meng
AU - Xu, Yanwu
AU - Liu, Jiang
AU - Goh, Wooi Boon
AU - Yin, Fengshou
AU - Wong, Tien Yin
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - In this paper, we present a multi-scale approach based on superpixel classification for optic cup localization. Our approach provides 3 major contributions. First, a contrast enhancement scheme is proposed to reduce illumination influence and enhance feature discrimination. Second, features are extracted from multiple superpixels scales for richer description of the optic cup. Third, a unique cup is localized by integrating the multi-scales together using majority voting. Our approach was validated on a clinical online dataset, ORIGA-light, of 650 population-based images. Overall, our approach is able to achieve a 0.248 non-overlap ratio (m1) and a 0.085 absolute CDR error (δ). Experimental results also shows that our multi-scale approach has a complementary effect to increase performance stability, and is able to achieve a higher accuracy when compared with the previous state-of-the-art superpixel-based method.
AB - In this paper, we present a multi-scale approach based on superpixel classification for optic cup localization. Our approach provides 3 major contributions. First, a contrast enhancement scheme is proposed to reduce illumination influence and enhance feature discrimination. Second, features are extracted from multiple superpixels scales for richer description of the optic cup. Third, a unique cup is localized by integrating the multi-scales together using majority voting. Our approach was validated on a clinical online dataset, ORIGA-light, of 650 population-based images. Overall, our approach is able to achieve a 0.248 non-overlap ratio (m1) and a 0.085 absolute CDR error (δ). Experimental results also shows that our multi-scale approach has a complementary effect to increase performance stability, and is able to achieve a higher accuracy when compared with the previous state-of-the-art superpixel-based method.
UR - http://www.scopus.com/inward/record.url?scp=84927949406&partnerID=8YFLogxK
U2 - 10.1109/isbi.2014.6867828
DO - 10.1109/isbi.2014.6867828
M3 - Conference contribution
AN - SCOPUS:84927949406
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 137
EP - 140
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -