Share Email Print
cover

Proceedings Paper

A real-time continuous auto-focus algorithm for stereo microscope cameras
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Auto-focus is a common function in consumer digital cameras and smart phones, but less applied into stereo microscopes, which often require repeated manual focusing to obtain a clear image. To be less time-consuming and labor-consuming during focusing operation with stereo microscopes, this paper presents a real-time and feasible continuous auto-focus algorithm. Firstly, a direction decision method is proposed to determine the beginning direction of motor for sensor moving. Secondly, an auto-focus search algorithm is improved to find the best focus position. Thirdly, in order to guarantee higher efficiency and accuracy of motor movement, an adaptive step size method is introduced to optimize the value of focus objective function. Lastly, to meet the need of continuous auto-focus, an auto-focus monitoring algorithm utilizing a finite-state-machine model is proposed to determine when to refocus and enhance the stability and responsiveness of auto-focus system. This approach has been implemented on the prototype of our stereo microscope camera to verify the auto-focus performance. Experimental results show that the proposed auto-focus algorithm can almost resist the interference in the focusing process, and achieve a good balance between accuracy and efficiency.

Paper Details

Date Published: 25 October 2018
PDF: 8 pages
Proc. SPIE 10822, Real-time Photonic Measurements, Data Management, and Processing III, 108220L (25 October 2018); doi: 10.1117/12.2324456
Show Author Affiliations
Rui Zhou, Zhejiang Univ. (China)
Hongyan Ding, Zhejiang Univ. (China)
Feihong Yu, Zhejiang Univ. (China)


Published in SPIE Proceedings Vol. 10822:
Real-time Photonic Measurements, Data Management, and Processing III
Ming Li; Bahram Jalali; Keisuke Goda; Kevin K. Tsia, Editor(s)

© SPIE. Terms of Use
Back to Top