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自动聚焦:用于扫描声学显微镜中扩展图像深度的自动聚焦

M Sarim Ameed Khan¹, Shivam Ojha², Shubham Kumar Gupta³

¹Department of Physics, Indian Institute of Technology Guwahati, Guwahati, Assam, India.

Journal of microscopy

|February 26, 2025

概括

本研究介绍了AutoSAFT,这是一种用于扫描声学显微镜 (SAM) 的自动聚焦技术. 自动SAFT使用一种新的图像质量指标来提高声学成像分辨率,而不需要先将数据失焦.

科学领域:

声学成像声学成像
图像处理图像处理
显微镜的使用方法

背景情况:

扫描声学显微镜 (SAM) 在失焦区域的侧面分辨率下降.
当前的合成孔径聚焦技术 (SAFT) 需要手动调整和先前的失焦信息来准确地重新聚焦图像.
自动聚焦对于提高SAM中的图像质量至关重要.

研究的目的:

开发用于扫描声学显微镜的自动合成孔径聚焦技术 (AutoSAFT).
消除了在声波图像重定焦中需要先前失焦信息的需求.
通过自动聚焦来提高SAM图像的分辨率和质量.

主要方法:

实现AutoSAFT,这是合成孔径聚焦技术 (SAFT) 的自动化版本.
使用盲人/无参考图像空间质量评估器 (BRISQUE) 评分作为无参考图像质量指数 (IQI).
使用BRISQUE分数,自动评估和优化失焦距离.

主要成果:

在扫描声学显微镜中,AutoSAFT成功地自动化了聚焦过程.
使用结构相似度指数矩阵 (SSIM) 和峰值信号噪声比 (PSNR) 的定性分析证实了图像质量的改善.
该技术证明适用于声学成像中的自动聚焦.

结论:

自动SAFT提供了一种有效的解决方案,用于在SAM中自动对焦图像.
拟议的方法可以提高图像的分辨率和质量,而不需要预先存在的失焦数据.
自动SAFT代表了光声图像聚焦方法的重大进步.

关键词:

声学传感器声学传感器自动对焦自动对焦扫描声学显微镜扫描声学显微镜结构相似性指数的衡量标准是结构相似性指数.合成光圈聚焦技术合成光圈聚焦技术

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