增大倾斜衍射透镜在图像分类中的景深

2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) Pub Date : 2020-10-06 DOI:10.1109/FarEastCon50210.2020.9271110

A. Dzyuba, S. Khonina, A. Nikonorov, S. Popov, P. Serafimovich

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引用次数: 0

摘要

这项工作考虑了衍射透镜的倾斜对聚焦区域形状和大小的影响。给出了描述各种光谱通道聚焦区域几何形状的解析关系。证明了利用神经网络将图像精确分类的区域大小增加数倍的可能性。研究结果可用于机器人和无人机的机器视觉单元。

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Increasing Depth of Field of Tilted Diffractive Lens in Image Classification Task

This work considers the influence of the tilt of a diffractive lens on the shape and size of the focused area. Analytical relations describing the geometry of the focused region for various spectral channels are given. The possibility of increasing by several times the size of the zone of accurate image classification using a neural network has been demonstrated. The results of the work can be used in machine vision units for robots and unmanned aerial vehicles.

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来源期刊

2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

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