面向多色视觉系统的动物视觉色彩检测锐度光谱分析

Suyeon Lee, Hyochul Kim, Goohwan Kim, Hyungbin Son, Un Jeong Kim
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引用次数: 0

摘要

通过对光敏感受器记录的光反应(PR)进行角度分析,对人类、鸟类和蝴蝶等动物视觉的光谱分辨能力进行数值比较。利用高光谱成像系统模拟各种动物的视觉。与人类的视觉相比,鸟类的光感受器均匀分布,光谱响应度较窄,因此鸟类的视觉能够敏锐地分辨不同蔬菜的颜色。蝴蝶的视觉能很好地辨别红色西红柿的成熟度,这是因为蝴蝶独有的光感受器只能探测到 600 纳米以上的波长。即使是人类感知颜色相同的真假水果,鸟类视觉也能分辨出来。通过使用可见光多光谱相机,利用精细分辨的多色人工锥状细胞进行的人工视觉演示超越了人类视觉。这为设计新型生物启发视觉系统提供了启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spectral Analysis on Color Detection Sharpness of Animal Vision toward Polychromatic Vision System

Spectral Analysis on Color Detection Sharpness of Animal Vision toward Polychromatic Vision System
Spectral discrimination by animal visions such as human, bird, and butterfly is numerically compared by angular analysis of photo-response (PR) which will be recorded at photo-receptors. Hyperspectral imaging system is utilized to simulate various animal vision. Bird vision is acute to discriminate colors among different vegetables due to its evenly spaced and narrow spectral responsivity of photo-receptors compared to that of human. Butterfly vision is excellent in discriminating red tomato ripening due to the exclusive photo-receptors detecting only over 600 nm. Even real and fake fruits in the same perceived color for human is discriminated by bird vision. Artificial vision with finely resolved polychromatic artificial cone cells are demonstrated surpassing human vision using visible multispectral camera. This provides insights on designing novel bio-inspired vision system.
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