Automatic optic disc location via adaptive multi-scale Gaussian filtering

Wei Zhou; Yang Pei; Jining Bao; Jie Luo; Yugen Yi

doi:10.1117/12.2559282

3 January 2020 Automatic optic disc location via adaptive multi-scale Gaussian filtering

Wei Zhou, Yang Pei, Jining Bao, Jie Luo, Yugen Yi

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113731W (2020) https://doi.org/10.1117/12.2559282
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

Optic disc is one of the main features in retinal images. Its location plays an important role for automated screening systems. A novel approach for automatic optic disc location is proposed in this paper. It consists of the following three stages, in the first stage, preprocessing is applied for correcting the uneven illumination and improving the low contrast. In the second stage, a series of key points can be extracted using alternative sequential filters and regional maxima. In the third stage, the key point that has the maximum correlation coefficient calculated by adaptive multi-scale template matching method is located as the center of the optic disc. The proposed algorithm is tested on two publicly available databases including DRIVE and DIRATEDB1. And our experiment results indicate that the proposed algorithm gives better performance than the state-of-the-art approaches.

Citation Download Citation

Wei Zhou, Yang Pei, Jining Bao, Jie Luo, and Yugen Yi "Automatic optic disc location via adaptive multi-scale Gaussian filtering", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113731W (3 January 2020); https://doi.org/10.1117/12.2559282

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KEYWORDS

Databases

Adaptive optics

Optical filters

Blood vessels

Gaussian filters

Digital filtering

RGB color model

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