基于数字全息的多粒子自动对焦算法，精准定位密集透明颗粒的轴向位置。
Multiple-Particle Autofocusing Algorithm Using Axial Resolution and Morphological Analyses Based on Digital Holography
- 通过形态分析与强度约束筛选候选焦点粒子
- 利用轴向分辨率确定真实焦点粒子，准确率高
- 适合需要快速获取密集颗粒三维位置的研究者
我们提出一种自动对焦算法，通过全息图相对准确地获取密集透明颗粒溶液中每个颗粒的三维位置，尤其是轴向位置和颗粒数量。首先，在原始重建图像上使用形态学分析和约束强度，提取候选焦点颗粒信息；其次，基于轴向分辨率识别真正的焦点颗粒；最后，结合每个候选焦点颗粒的平均强度和等效直径，最终确认所有焦点颗粒。所提方法能快速提供相对准确的轴向位置真值，有效解决密集颗粒场景下的自动对焦问题。
原文摘要 · Abstract (English)
We propose an autofocusing algorithm to obtain, relatively accurately, the 3D position of each particle, particularly its axial location, and particle number of a dense transparent particle solution via its hologram. First, morphological analyses and constrained intensity are used on raw reconstructed images to obtain information on candidate focused particles. Second, axial resolution is used to obtain the real focused particles. Based on the mean intensity and equivalent diameter of each candidate focused particle, all focused particles are eventually secured. Our proposed method can rapidly provide relatively accurate ground-truth axial positions to solve the autofocusing problem that occurs with dense particles.
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