Optic Disc and Fovea Detection in Color Eye Fundus Images

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Ana Maria Mendonça (Author) FEUP; Tânia Melo (Author) Other; Teresa Araújo (Author) Other; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: Image Analysis and Recognition - 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24-26, 2020, Proceedings, Part II

Pages: 332-343

17th International Conference on Image Analysis and Recognition, ICIAR 2020

24 June 2020 through 26 June 2020

Indexing

Scopus - 1 Citation

INSPEC

Other information

Authenticus ID: P-00S-B2D

DOI: 10.1007/978-3-030-50516-5_29

Abstract (EN): The optic disc (OD) and the fovea are relevant landmarks in fundus images. Their localization and segmentation can facilitate the detection of some retinal lesions and the assessment of their importance to the severity and progression of several eye disorders. Distinct methodologies have been developed for detecting these structures, mainly based on color and vascular information. The methodology herein described combines the entropy of the vessel directions with the image intensities for finding the OD center and uses a sliding band filter for segmenting the OD. The fovea center corresponds to the darkest point inside a region defined from the OD position and radius. Both the Messidor and the IDRiD datasets are used for evaluating the performance of the developed methods. In the first one, a success rate of 99.56% and 100.00% are achieved for OD and fovea localization. Regarding the OD segmentation, the mean Jaccard index and Dice¿s coefficient obtained are 0.87 and 0.94, respectively. The proposed methods are also amongst the top-3 performing solutions submitted to the IDRiD online challenge. © Springer Nature Switzerland AG 2020.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12