Selection of Optimal Focusing Evaluation Function Based on Sparse Microscopic Images. Issue 1 (1st October 2022)

• Record Type: Journal Article
• Authors: Lv, Meini; Gan, Hui; Liu, Xin; Chen, Jia; Yang, Qiuhui
• Is Part Of: Journal of physics. Volume 2356:Issue 1(2022)
• Publication Date: 2022-10-01
• Subjects: Auto focusing -- Sparse microscopic image -- Focusing evaluation function; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2356/1/012035
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract : The auto focusing process is affected by the amount of image content, resulting in the focus curve not meeting the characteristics of the ideal focus curve. In this paper, aiming at the problem that the traditional autofocus cannot find the focal plane successfully in the case of microscopic sparse content, the qualitative analysis and quantitative analysis of 12 traditional focus evaluation functions are carried out. The experimental results show that the F Tenengrad function is suitable for the optimal focus evaluation function of sparse microscopic images.