Method based on bioinspired sample improves autofocusing performances

Jie Cao; Yang Cheng; Peng Wang; Yuxin Peng; Kaiyu Zhang; Leina Wu; Wenze Xia; Haoyong Yu

doi:10.1117/1.OE.55.10.103103

7 October 2016 Method based on bioinspired sample improves autofocusing performances

Jie Cao, Yang Cheng, Peng Wang, Yuxin Peng, Kaiyu Zhang, Leina Wu, Wenze Xia, Haoyong Yu

Author Affiliations +

Optical Engineering, Vol. 55, Issue 10, 103103 (October 2016). https://doi.org/10.1117/1.OE.55.10.103103

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.

Citation Download Citation

Jie Cao, Yang Cheng, Peng Wang, Yuxin Peng, Kaiyu Zhang, Leina Wu, Wenze Xia, and Haoyong Yu "Method based on bioinspired sample improves autofocusing performances," Optical Engineering 55(10), 103103 (7 October 2016). https://doi.org/10.1117/1.OE.55.10.103103

Published: 7 October 2016

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