The Retinal image carries important information about the health of the sensory part of the visual system. In this paper, a new approach is suggested by utilizing the homomorphic filter integrated with Contrast limited adaptive histogram equalization (CLAHE) method for the illumination normalization and contrast enhancement of the retinal images. Then segmentation is done through several steps by using the existing methods such as morphological filtering, a second derivative operator that is followed by a final morphological filtering stage and hysteresis thresholding. The suggested method is verified on DRIVE and CHASE‐DB1 databases and has average accuracy of 72.03% and 64.54%, accordingly. The obtained results demonstrate that the proposed approaches achieve higher accuracy than the traditional method. The suggested approach not only contributes to the successful result, but also minimizes the computing time.

中文翻译：

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基于照明归一化的视网膜血管分割技术

视网膜图像携带有关视觉系统感觉部分健康的重要信息。本文提出了一种新方法，即利用同态滤波器与对比度受限的自适应直方图均衡（CLAHE）方法集成，对视网膜图像进行照明标准化和对比度增强。然后使用现有方法（例如形态过滤，第二个导数运算符）执行几个步骤来进行分割，随后进行最终形态过滤阶段和滞后阈值处理。所建议的方法已在DRIVE和CHASE-DB1数据库中进行了验证，因此平均准确度分别为72.03％和64.54％。所得结果表明，所提出的方法比传统方法具有更高的精度。