基于主成分融合的眼底图像未曝光生物特征增强技术

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Neha Singh, Ashish Kumar Bhandari
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引用次数: 0

摘要

在眼科领域,数字图像在自动检测各种眼疾方面发挥着重要作用。图像增强领域的数字图像是协助眼科医生进行诊断的第一道工序。因此,人们开发了各种用于增强视网膜图像的算法和方法,这些算法和方法可能会面临增强过程中常见的障碍,如模糊图像细节的假边缘和弱照明。为了消除这些问题,本文提出了一种新颖的未曝光视网膜图像框架。本文使用多尺度高斯函数来估计未曝光彩色视网膜图像的光照层,然后用伽马方法对其进行校正。此外,本文还利用主成分分析法(PCA)生成未曝光视网膜图像的融合增强结果。然后,采用对比度限制技术进一步改善边缘和背景细节。实验结果表明,与几种基于增强技术的最先进程序相比,所建议的方法能产生具有良好对比度和亮度的结果。该方法的重要意义在于,它可以帮助眼科医生更有效地筛查未暴露的视网膜疾病,并为医疗诊断提供更好的自动图像分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Principal component fusion based unexposed biological feature enhancement of fundus images

Principal component fusion based unexposed biological feature enhancement of fundus images

In the field of ophthalmology, digital images play an important role for automatic detection of various kind of eye diseases. Digital images in the field image enhancement are the first stage to assisting ophthalmologist for diagnosis. As a result, various algorithms, and methods for the enhancement of retinal images have been developed, which may face obstacles that are common in augmentation processes, such as false edges and weak illuminated that obscure image particulars. To eliminate such issues, this paper projected a novel framework for unexposed retinal image. The proposed paper uses multiscale Gaussian function for estimation of illumination layer from unexposed color retinal image and then it is corrected by gamma method. Further to this, the principal component analysis (PCA) is utilized here to generate fused enhance result for unexposed retinal images. Then, contrast limited technique is employed here for further edge and contextual details improvement. When compared to several enhancement-based state-of-the-art procedures, experimental results show that the suggested method produces results with good contrast and brightness. The significance of the proposed method that this method may help ophthalmologists screen for unexposed retinal illnesses more efficiently and build better automated image analysis for healthcare diagnosis.

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来源期刊
Multimedia Tools and Applications
Multimedia Tools and Applications 工程技术-工程:电子与电气
CiteScore
7.20
自引率
16.70%
发文量
2439
审稿时长
9.2 months
期刊介绍: Multimedia Tools and Applications publishes original research articles on multimedia development and system support tools as well as case studies of multimedia applications. It also features experimental and survey articles. The journal is intended for academics, practitioners, scientists and engineers who are involved in multimedia system research, design and applications. All papers are peer reviewed. Specific areas of interest include: - Multimedia Tools: - Multimedia Applications: - Prototype multimedia systems and platforms
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