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Fast Autofocusing Algorithm Based on Variable Step Search and Curve Fitting Applied in the Near- and Far-Field Detection System With a Common Optical Path

We design a set of near- and far-field detection system with a common optical path. And we propose a fast autofocusing algorithm based on variable step search and curve fitting for defocus aberration correction of the system. By denoising the image with the image processing method, improving the traditional hill-climbing search method with variable step search and curve fitting, and taking the sum of the squares of grayscale differences and the image similarity function as criteria, we effectively improve the speed and accuracy of autofocus. The theoretical positioning accuracy reaches 0.076 μm, the code statement frequency count of the algorithm is reduced by 2MN times, and the resolution enhances from 28.51 lp mm −1 to 71.8 lp mm −1 . Numerical simulations and experimental results have validated the effectiveness of the proposed method.

Ketersediaan

Informasi Detail

Judul Seri

JOURNAL OF LIGHTWAVE TECHNOLOGY; Vol. 41, No. 6, March 15, 2023

No. Panggil

-

Penerbit

: .,

Deskripsi Fisik

p. 1742-1748

Bahasa

English

ISBN/ISSN

-

Klasifikasi

NONE

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

CURVE FITTING
A COMMON OPTICAL PATH
AUTOFOCUSING ALGORITHM
NEAR- AND FAR-FIELD DETECTION SYSTEM
VARIABLE STEP SEARCH

Info Detail Spesifik

DOI: 10.1109/JLT.2022.3225545

Pernyataan Tanggungjawab

Guangbiao Wang, Jiawei Huang, Jiangbo Lyu, Zhiyu Chen, Rongguo Lu, Zizheng Cao, Yong Liu

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