Content based focus measure for robust auto-focusing of microscopy in biomedical applications

Yongping Zhai, Dongxiang Zhou, Shun Liu, Yunhui Liu, W. Fung
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引用次数: 1

Abstract

Auto-focusing is one of the key issues in motorized biological microscopes as it strongly affects the quality of the microscopic images. Auto-focusing is a difficult problem because the size of biological objects is as small as a few micrometers, and the problem is even more challenging when the density of the image content is low. In this paper, we propose a content based focus measure for guiding automatic search of the optimal focal plane with different image content densities. The proposed method adaptively assigns different weights to pixels based on the image content in the focus measure computation. Larger weights are assigned to pixels that represent interested objects, while smaller weights are given to debris and background pixels. Experimental investigation has been conducted to demonstrate superior performance of the proposed method over existing methods.
基于内容的聚焦测量在生物医学领域的应用
自动调焦是电动生物显微镜的关键问题之一,它严重影响着显微镜成像的质量。由于生物物体的尺寸小到几微米,自动对焦是一个难题,当图像内容的密度很低时,问题就更具有挑战性了。在本文中,我们提出了一种基于内容的焦点度量,用于指导在不同图像内容密度下自动搜索最优焦平面。该方法在焦点度量计算中根据图像内容自适应地为像素分配不同的权重。较大的权重被分配给代表感兴趣对象的像素,而较小的权重被分配给碎片和背景像素。实验研究表明,该方法优于现有方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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