The eye disease such as Diabetic Retinopathy(DR) can be analysed through segmentation of retinal blood vessels. In the last five years, many methods for retinal blood vessels segmentation were proposed. These methods give arise to the improved accuracy, however the sensitivity of low contrast vessels is often ignored. The performance of diagnosis in terms of segmentation of vessels can be degraded due to missing tiny vessels. In this study, we propose a novel algorithm aiming at improving the performance of segmenting small vessels. The proposed approach adopts a morphological and filtering method to handle the background noise and uneven illumination and uses anisotropic diffusion filtering to coherent the vessels and give initial detection of vessels, followed by a double threshold based region growing method.
|Title of host publication
|2017 IEEE International Conference on image processing (ICIP) proceedings
|Place of Publication
|Number of pages
|9781509021765 (Print on demand)
|Published - 22 Feb 2018
|2017 24th IEEE International Conference on Image Processing: ICIP 2017 - China National Convention Center , Beijing, China
Duration: 17 Sept 2017 → 20 Sept 2017
http://2017.ieeeicip.org/ (Conference website)
|2017 24th IEEE International Conference on Image Processing
|17/09/17 → 20/09/17
|The 24th IEEE International Conference on Image Processing (ICIP) will be held in the China National Conventional Center, Beijing, China, on September 17-20, 2017. ICIP is the world' largest and most comprehensive technical conference focused on image and video processing and computer vision. The conference will feature world-class speakers, tutorials, exhibits, and a vision technology showcase.