一种改进的视网膜图像模糊对比度增强技术

2015 International Conference on Computing Communication Control and Automation Pub Date : 2015-02-26 DOI:10.1109/ICCUBEA.2015.177

S. V. Paranjape, Sambuddha Ghosh, A. Ray, J. Chatterjee, A. Lande

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引用次数: 2

摘要

视网膜图像对比度增强是疾病诊断视觉分析的重要手段，是进一步进行图像分析的重要前提。图像对比度增强的评价主要取决于图像质量和手头的应用。模糊推理系统是利用图像中的不规则性和模糊性来获得更精确的信息。在部分直方图的基础上，提出了一种基于规则的模糊推理系统(FIS)用于视网膜图像对比度增强。发现高斯隶属函数和感兴趣区域有助于获得突出的结果。通过对DRIVE数据库图像和眼科医生提供的图像进行有效的对比度增强，我们获得了令人满意的结果。

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A Modified Fuzzy Contrast Enhancement Technique for Retinal Images

The retinal image contrast enhancement is most important when it comes to visual analysis for respective disease diagnosis and as an important prerequisite for further image analysis. The evaluation of images for contrast enhancement depends mostly on image quality and application at hand. Fuzzy inference system used to get more precise information although the irregularity and vagueness in an image. A rule-based Fuzzy Inference System (FIS) is proposed for contrast enhancement of retinal images in addition with the partial histogram. Gaussian membership function and Region of Interest are found to aid in obtaining prominent results. We have obtained promising results by applying proposed method with effective contrast enhancement on DRIVE database images, also on images provided by the Ophthalmologist.

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2015 International Conference on Computing Communication Control and Automation

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