Implementation and image processing of a multi-focusing bionic compound eye

Xin Wang; Yongcai Guo; Jiasai Luo

doi:10.1117/12.2294603

12 January 2018 Implementation and image processing of a multi-focusing bionic compound eye

Xin Wang, Yongcai Guo, Jiasai Luo

Proceedings Volume 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 106201B (2018) https://doi.org/10.1117/12.2294603
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

Abstract

In this paper, a new BCE with multi-focusing microlens array (MLA) was proposed. The BCE consist of detachable micro-hole array (MHA), multi-focusing MLA and spherical substrate, thus allowing it to have a large FOV without crosstalk and stray light. The MHA was fabricated by the precision machining and the parameters of the microlens varied depend on the aperture of micro-hole, through which the implementation of the multi-focusing MLA was realized under the negative pressure. Without the pattern transfer and substrate reshaping, the whole fabrication method was capable of accomplishing within several minutes by using microinjection technology. Furthermore, the method is cost-effective and easy for operation, thus providing a feasible method for the mass production of the BCE. The corresponding image processing was used to realize the image stitching for the sub-image of each single microlens, which offering an integral image in large FOV. The image stitching was implemented through the overlap between the adjacent sub-images and the feature points between the adjacent sub-images were captured by the Harris point detection. By using the adaptive non-maximal suppression, numerous potential mismatching points were eliminated and the algorithm efficiency was proved effectively. Following this, the random sample consensus (RANSAC) was used for feature points matching, by which the relation of projection transformation of the image is obtained. The implementation of the accurate image matching was then realized after the smooth transition by weighted average method. Experimental results indicate that the image-stitching algorithm can be applied for the curved BCE in large field.

Citation Download Citation

Xin Wang, Yongcai Guo, and Jiasai Luo "Implementation and image processing of a multi-focusing bionic compound eye", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106201B (12 January 2018); https://doi.org/10.1117/12.2294603

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KEYWORDS

Image fusion

Image processing

Biomimetics

Eye

Panoramic photography

Microlens

Microlens array

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