English(EN) Luminosity-Adaptive Contrast Enhancement Using CLAHE for Retinal Fundus Images with Quantitative Validation and Comparative Analysis

新的CLAHE流程增强视网膜图像，改善诊断效果

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-21 04:00

研究人员开发了一种新颖的两阶段视网膜眼底图像增强流程，结合了亮度校正和对比度限制自适应直方图均衡化（CLAHE）。该方法专门针对非均匀照明和低对比度等伪影，这些伪影会阻碍糖尿病视网膜病变和青光眼等疾病的准确诊断。在DRIVE数据集上的定量验证表明，其性能优于标准的直方图均衡化和自适应直方图均衡化方法，在PSNR、SSIM和CNR方面取得了显著更高的分数，并且处理时间适合临床工作流程。 AI

影响这项研究提供了一种更强大的医学图像增强方法，有望提高临床环境中的诊断准确性和效率。

排序理由该项目是一篇学术论文，详细介绍了一种用于医学成像的新图像处理技术。[lever_c_demoted from research: ic=1 ai=0.4]

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arXiv cs.CV TIER_1 English(EN) · K. Mithra, Prem Kumar Santhanam · 2026-07-21 04:00

基于CLAHE的视网膜眼底图像亮度自适应对比度增强及其定量验证与比较分析

arXiv:2607.17691v1 Announce Type: cross Abstract: Background: Retinal fundus imaging is central to the early diagnosis of sight-threatening conditions including diabetic retinopathy, glaucoma, and retinal vein occlusion. Clinical utility of fundus images is routinely compromised …

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基于CLAHE的视网膜眼底图像亮度自适应对比度增强及其定量验证与比较分析

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