Medicine and Health Sciences Commons^™

A Retinal Vessel Detection Approach Based On Shearlet Transform And Indeterminacy Filtering On Fundus Images, Florentin Smarandache, Yanhui Guo, Umit Budak, Abdulkadir Sengur

Branch Mathematics and Statistics Faculty and Staff Publications

A fundus image is an effective tool for ophthalmologists studying eye diseases. Retinal vessel detection is a significant task in the identification of retinal disease regions. This study presents a retinal vessel detection approach using shearlet transform and indeterminacy filtering. The fundus image’s green channel is mapped in the neutrosophic domain via shearlet transform. The neutrosophic domain images are then filtered with an indeterminacy filter to reduce the indeterminacy information. A neural network classifier is employed to identify the pixels whose inputs are the features in neutrosophic images. The proposed approach is tested on two datasets, and a receiver operating …