Gabor filter-based detection of neovascularization due to diabetic retinopathy(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2018年第8期
- Page:
- 968-971
- Research Field:
- 医学生物物理
- Publishing date:
Info
- Title:
- Gabor filter-based detection of neovascularization due to diabetic retinopathy
- Author(s):
- ZHANG Jiayang; HUANG He; LIU Ziyi; JIN Jialin; ZHANG Jiatuo
- College of Public Basic Sciences, Jinzhou Medical University, Jinzhou 121001, China
- Keywords:
- ; Keywords: diabetes; fundus image; neovascularization; Gabor filter; detection
- PACS:
- R587.1；Q-334
- DOI:
- DOI:10.3969/j.issn.1005-202X.2018.08.019
- Abstract:
- Abstract: Objective To achieve neovascularization detection in fundus images using Gabor filter for assisting doctors to determine the stages of diabetic retinopathy accurately. Methods Fundus images were preprocessed, and then the Gabor filters with different scale and directional parameters were applied to process the preprocessed images. The maximum value of the output in each direction was taken as the final output of Gabor filter on condition that the scale parameters were determined. Results The comparison of results obtained by Gabor filters with different scale parameters showed that Gabor filter with small scale parameters had strong outputs in neovascularization. Conclusion The proposed Gabor filter can accurately distinguish normal blood vessels and neovascularization in fundus images.
Last Update: 2018-07-26