通过使用二项过器的低通选来增强视网膜图像
Mofleh Hannuf AlRowaily1, Hamzah Arof1, Imanurfatiehah Ibrahim1
1Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia.
Diagnostics (Basel, Switzerland)
|August 10, 2024
概括
这项研究引入了一种新的方法来改善视网膜图像的对比度和亮度,有助于诊断糖尿病视网膜病变等眼睛疾病.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 图像处理 图像处理
背景情况:
- 眼底图像对于诊断各种眼睛疾病至关重要.
- 提高这些图像的对比度和亮度对于准确分析至关重要.
- 现有的方法可能会在边界反射和照明变化方面扎.
研究的目的:
- 开发和评估一种新的图像处理技术,用于增强底部图像.
- 为了提高视网膜图像的对比度和亮度,特别是在边界反射的区域.
- 提供一种工具,帮助眼科医生诊断眼睛疾病,如糖尿病视网膜病变.
主要方法:
- 利用了来自在线数据库的100张视网膜图像.
- 应用频道分离 (RGB),对感兴趣区域 (ROI) 识别设置值,以及平均过.
- 采用二项式波器 (BFs) 进行背景亮度估计和均等,然后采用对比度有限自适应式直方图表均等 (CLAHE) 进行对比度调整.
- 使用调整RGB频道的信息增强了细节,并进行了色彩校正.
主要成果:
- 提出的方法显著改善了图像的亮度和对比度.
- 视觉和定量评估证实了灰度和色底图像的明显增强.
- 该方法实现了不到10秒的平均执行时间,超过了其他两个过器.
结论:
- 开发的技术有效地提高 fundus 图像质量,使其成为眼科医生的宝贵工具.
- 改善图像对比度和亮度有助于诊断眼睛疾病,特别是在糖尿病患者中.
- 该方法效率高,与现有过器相比,其性能优越.
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