TY - GEN
T1 - An optic disc localization method based on optic disc appearance characteristics and blood vessel structure
AU - Tao, Tangfei
AU - Zhu, Zixu
AU - Xu, Guanghua
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/10/30
Y1 - 2020/10/30
N2 - Detection of related tissues in the retinal fundus image of the human eye can diagnose the relevant eye diseases at an early stage. Fundus image processing and analysis is an important application of computer science in the medical field. Through the digital image processing method, automatic detection of the target related to the diagnosis of fundus diseases in the fundus image and screening of fundus diseases can reduce the workload of experts greatly, and is of great significance for the promotion of large-scale fundus screening. This paper explores image preprocessing as well as automatic localization methods suitable for automatic detection of optic disc with high accuracy and sensitivity, which lays a technical foundation for the promotion of fundus screening and large-scale fundus screening. On this basis, this paper studies the method of optic disc localization combined with the appearance characteristics of optic disc and retinal vascular structure, and improve it to test the effect of improved algorithm. Behind, the method of this research is validated and verified by using the open fundus image database. The effect of our method locating the optic disc and the causes of the optic disc localization error are analyzed.
AB - Detection of related tissues in the retinal fundus image of the human eye can diagnose the relevant eye diseases at an early stage. Fundus image processing and analysis is an important application of computer science in the medical field. Through the digital image processing method, automatic detection of the target related to the diagnosis of fundus diseases in the fundus image and screening of fundus diseases can reduce the workload of experts greatly, and is of great significance for the promotion of large-scale fundus screening. This paper explores image preprocessing as well as automatic localization methods suitable for automatic detection of optic disc with high accuracy and sensitivity, which lays a technical foundation for the promotion of fundus screening and large-scale fundus screening. On this basis, this paper studies the method of optic disc localization combined with the appearance characteristics of optic disc and retinal vascular structure, and improve it to test the effect of improved algorithm. Behind, the method of this research is validated and verified by using the open fundus image database. The effect of our method locating the optic disc and the causes of the optic disc localization error are analyzed.
KW - Optic disc localization
KW - Region of interest
KW - Vascular segmentation
UR - https://www.scopus.com/pages/publications/85099886121
U2 - 10.1145/3436369.3436455
DO - 10.1145/3436369.3436455
M3 - 会议稿件
AN - SCOPUS:85099886121
T3 - ACM International Conference Proceeding Series
SP - 255
EP - 260
BT - ICCPR 2020 - Proceedings of 2020 9th International Conference on Computing and Pattern Recognition
PB - Association for Computing Machinery
T2 - 9th International Conference on Computing and Pattern Recognition, ICCPR 2020
Y2 - 30 October 2020 through 1 November 2020
ER -