A phase correlation based peak detection method for accurate shape from focus measurements

被引：7

作者：

Gladines, J. ^{[1
]}

Sels, S. ^{[1
]}

De Boi, I. ^{[1
]}

Vanlanduit, S. ^{[1
,2
]}

机构：

[1] Univ Antwerp, Fac Appl Engn, Groenenborgerlaan 171, B-2020 Antwerp, Belgium

[2] Vrije Univ Brussel, Dept Mech Engn, Pl Laan 2, B-1050 Brussels, Belgium

来源：

MEASUREMENT | 2023年 / 213卷

关键词：

Shape-from-focus; Phase correlation; Gaussian fitting; Peak detection; Centroid finding; Focus variation; 3-DIMENSIONAL SHAPE; IMAGE FOCUS; RECOVERY; VISION;

D O I：

10.1016/j.measurement.2023.112726

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Estimating a 3D shape from 2D images is a classic computer vision problem. Shape from focus is a commonly used method for this purpose. With shape from focus, 3D depth is estimated using a so-called focus measure operator. Pixel focus follows a Gaussian-like distribution in which the location of the peak is an indicator of the 3D depth. Locating the peak in this distribution is complicated due to noise coming from various sources. We investigate the accuracy of some existing algorithms and introduce a new algorithm based on phase correlation. Phase correlation is a powerful method for finding correlations between signals, especially in a noisy environment. The accuracy and robustness to noise of the proposed method are tested and proven by applying it to synthetic data as well as measurements of a calibration target. The proposed method is over 30% more accurate than comparable methods, yet requires more computational effort.

引用

页数：9

共 36 条

[21] SHAPE FROM FOCUS [J].