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A Biomimetic Model of Adaptive Contrast Vision Enhancement from Mantis Shrimp
Mantis shrimp have complex visual sensors, and thus, they have both color vision and polarization vision, and are adept at using polarization information for visual tasks, such as finding prey. In addition, mantis shrimp, almost unique among animals, can perform three-axis eye movements, such as pit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472206/ https://www.ncbi.nlm.nih.gov/pubmed/32824224 http://dx.doi.org/10.3390/s20164588 |
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author | Zhong, Binbin Wang, Xin Gan, Xin Yang, Tian Gao, Jun |
author_facet | Zhong, Binbin Wang, Xin Gan, Xin Yang, Tian Gao, Jun |
author_sort | Zhong, Binbin |
collection | PubMed |
description | Mantis shrimp have complex visual sensors, and thus, they have both color vision and polarization vision, and are adept at using polarization information for visual tasks, such as finding prey. In addition, mantis shrimp, almost unique among animals, can perform three-axis eye movements, such as pitch, yaw, and roll. With this behavior, polarization contrast in their field of view can be adjusted in real time. Inspired by this, we propose a bionic model that can adaptively enhance contrast vision. In this model, a pixel array is used to simulate a compound eye array, and the angle of polarization (AoP) is used as an adjustment mechanism. The polarization information is pre-processed by adjusting the direction of the photosensitive axis point-to-point. Experiments were performed around scenes where the color of the target and the background were similar, or the visibility of the target was low. The influence of the pre-processing model on traditional feature components of polarized light was analyzed. The results show that the model can effectively improve the contrast between the object and the background in the AoP image, enhance the significance of the object, and have important research significance for applications, such as contrast-based object detection. |
format | Online Article Text |
id | pubmed-7472206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74722062020-09-04 A Biomimetic Model of Adaptive Contrast Vision Enhancement from Mantis Shrimp Zhong, Binbin Wang, Xin Gan, Xin Yang, Tian Gao, Jun Sensors (Basel) Article Mantis shrimp have complex visual sensors, and thus, they have both color vision and polarization vision, and are adept at using polarization information for visual tasks, such as finding prey. In addition, mantis shrimp, almost unique among animals, can perform three-axis eye movements, such as pitch, yaw, and roll. With this behavior, polarization contrast in their field of view can be adjusted in real time. Inspired by this, we propose a bionic model that can adaptively enhance contrast vision. In this model, a pixel array is used to simulate a compound eye array, and the angle of polarization (AoP) is used as an adjustment mechanism. The polarization information is pre-processed by adjusting the direction of the photosensitive axis point-to-point. Experiments were performed around scenes where the color of the target and the background were similar, or the visibility of the target was low. The influence of the pre-processing model on traditional feature components of polarized light was analyzed. The results show that the model can effectively improve the contrast between the object and the background in the AoP image, enhance the significance of the object, and have important research significance for applications, such as contrast-based object detection. MDPI 2020-08-15 /pmc/articles/PMC7472206/ /pubmed/32824224 http://dx.doi.org/10.3390/s20164588 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhong, Binbin Wang, Xin Gan, Xin Yang, Tian Gao, Jun A Biomimetic Model of Adaptive Contrast Vision Enhancement from Mantis Shrimp |
title | A Biomimetic Model of Adaptive Contrast Vision Enhancement from Mantis Shrimp |
title_full | A Biomimetic Model of Adaptive Contrast Vision Enhancement from Mantis Shrimp |
title_fullStr | A Biomimetic Model of Adaptive Contrast Vision Enhancement from Mantis Shrimp |
title_full_unstemmed | A Biomimetic Model of Adaptive Contrast Vision Enhancement from Mantis Shrimp |
title_short | A Biomimetic Model of Adaptive Contrast Vision Enhancement from Mantis Shrimp |
title_sort | biomimetic model of adaptive contrast vision enhancement from mantis shrimp |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472206/ https://www.ncbi.nlm.nih.gov/pubmed/32824224 http://dx.doi.org/10.3390/s20164588 |
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