Abstract Automatic detection of micro-aneurysm in color retinal image is important for early screening and diagnosis of diabetic retinopathy. In this paper, a new method is proposed for micro-aneurysm detection based on circular bilateral Gabor filtering. Firstly, a circular bilateral Gabor filter is developed to extract micro-aneurysm candidates. Secondly, false positives are reduced by eliminating small vessels through a process involving local gradient analysis. The proposed method is tested on the retinal images from the Retinopathy Online Challenge database and Tianjin Medical University Metabolic Diseases Hospital. Evaluation results at both image and lesion level demonstrate the efficacy of the proposed method in detecting micro-aneurysm accurately.

中文翻译：

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用于微动脉瘤检测的基于形状的滤波器

摘要 彩色视网膜图像中微动脉瘤的自动检测对于糖尿病视网膜病变的早期筛查和诊断具有重要意义。本文提出了一种基于圆形双边 Gabor 滤波的微动脉瘤检测新方法。首先，开发了圆形双边 Gabor 滤波器来提取微动脉瘤候选者。其次，通过涉及局部梯度分析的过程消除小血管来减少假阳性。所提出的方法在视网膜病变在线挑战数据库和天津医科大学代谢病医院的视网膜图像上进行了测试。图像和病变级别的评估结果证明了所提出的方法在准确检测微动脉瘤方面的有效性。