Imaging Components, Systems, and Processing

Method based on bioinspired sample improves autofocusing performances

[+] Author Affiliations
Jie Cao, Yang Cheng, Wenze Xia

National University of Singapore, Department of Biomedical Engineering, Singapore 117575, Singapore

Beijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China

Peng Wang

Beijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China

Beijing Aerospace Measurement and Control Technology Co., Ltd., Beijing 100041, China

Yuxin Peng

National University of Singapore, Department of Biomedical Engineering, Singapore 117575, Singapore

Zhejiang University, Department of Physical Education and Sports Science, Hangzhou 310028, China

Kaiyu Zhang

Beijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China

Leina Wu

Xuzhou Institute of Technology, Department of Information and Electrical Engineering, Jiangsu 221000, China

Haoyong Yu

National University of Singapore, Department of Biomedical Engineering, Singapore 117575, Singapore

Opt. Eng. 55(10), 103103 (Oct 07, 2016). doi:10.1117/1.OE.55.10.103103
History: Received March 15, 2016; Accepted September 20, 2016
Text Size: A A A

Abstract.  In order to solve the issue between fast autofocusing speed and high volume data processing, we propose a bioinspired sampling method based on a retina-like structure. We develop retina-like models and analyze the division of sampling structure. The optimal retina-like sample is obtained by analyzing two key parameters (sectors and radius of blind area) of the retina-like structure through experiments. Under the typical autofocus functions, including Vollath–4, Laplacian, Tenengrad, spatial frequency, and sum-modified-Laplacian (SML), we carry out comparative experiments of computation time based on the retina-like sample and a traditional uniform sample. The results show that the retina-like sample is suitable for those autofocus functions. Based on the autofocus function of SML, the average time of uniform sample decreases from 3.5 to 2.1 s for the retina-like sample.

Figures in this Article
© 2016 Society of Photo-Optical Instrumentation Engineers

Topics

Retina ; Biomimetics

Citation

Jie Cao ; Yang Cheng ; Peng Wang ; Yuxin Peng ; Kaiyu Zhang, et al.
"Method based on bioinspired sample improves autofocusing performances", Opt. Eng. 55(10), 103103 (Oct 07, 2016). ; http://dx.doi.org/10.1117/1.OE.55.10.103103


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.