基于Retinex理论的眼底彩色图像增强算法

doi:10.3969/j.issn.0258-8021.2018.03.001

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Abstract The color fundus image is usually suffered from poor brightness, low contrast and local detail loss. This paper analyzed drawbacks of Retinex methods, and proposed a new effective enhancement algorithm based on Retinex theory. First of all, luminance components of original image were extracted. Next, a multi-scale retinex algorithm was used on it. The simplest possible color balance algorithm was adopted to modify the gain/offset correction method.At last, we calibrated the red channel information to restore the luminance information. In order to verify the effectiveness of the method, the proposed method was compared with other enhancement algorithms including multi-scale retinex(MSR), multi-scale retinex with color restoration (MSRCR), histogram equalization(HE), contrast limited adaptive histogram equalization (CLAHE) on the DIARETDB0 fundus image database. Experimental results showed that the proposed method had better effect on the color protection, vascular contrast improvement and enhance image details than the other Retinex algorithms and conventional image enhancement methods. The information entropy was increased by 5% to 7% and the peak signal-to-noise ratio (PSNR) was 1～2 times higher than the conventional methods. The objective image quality index was significantly better thanthe other fundus image enhancement methods. This method is of significance to further fundus image recognition.

Key words： Retinex the color fundus image image enhancement

Received: 24 October 2017

PACS:

R318

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	Liu Yuhong
	Yan Hongmei

Cite this article:

Liu Yuhong,Yan Hongmei. The Color Fundus Image Enhancement Algorithm Based on Retinex Theory[J]. Chinese Journal of Biomedical Engineering, 2018, 37(3): 257-265.

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http://cjbme.csbme.org/EN/10.3969/j.issn.0258-8021.2018.03.001 OR http://cjbme.csbme.org/EN/Y2018/V37/I3/257

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