A Fast Localization and Extraction of Microaneurysm for Early Detection of Diabetic Retionopathy. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Cheng, Yun; Liu, Weirong; Wang, Chenglong; Gu, Xin; Cheng, Yijun; Wang, Shengnan; Peng, Jun
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 16400
• Page End: 16405
• Publication Date: 2020
• Subjects: Microaneurysm -- Diabetic Retionopathy -- CLAHE -- Edge detection -- Random Forest; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.684
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Diabetic Retinopathy (DR) is regarded as one of the leading causes of blindness globally. Microaneurysms (MAs) detection is essential to the computer aided diagnosis of DR at an early stage. However, the automatic detection of MAs is still a challenging problem as they are too tiny to be recognized and hard to be distinguished from other similar lesions. Therefore, we propose an efficient localization and extraction method for MAs, where the edge detection and Random Forest are utilized to enhance the accuracy of detection results. Finally, the proposed method is evaluated based on the public retinal image database MESSIDOR. Numerical results show that high accuracy and timely detection can be obtained with the proposed solution.