Underwater hyperspectral imaging system with dual-scanning mode

Bai, Haoxuan; Xue, Qi‐Kun; Hao, Xijie; huili, Lihui; huang, liyu; Chang, Li; Yang, Jingyao

doi:10.1364/ao.456363

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Hyperspectral imaging technology integrates advanced technologies in the fields of optics, optoelectronics, information processing and computer (Zou et al, 2022), integrates image processing and spectral analysis, realizes the simultaneous acquisition of object spatial information and spectral information (Chen et al, 2022), and can detect the appearance characteristics and internal components of the object to be tested at the same time (Duan et al, 2022;Sulaiman et al, 2022). The hyperspectral images obtained based on imaging spectrometers have nanometer spectral resolution, covering the spectral range from ultraviolet to long-wave infrared (200~14000 nm), and continuously image at hundreds of wavelengths (Bai et al, 2022;Sun et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Study on the influence of region of interest on the detection of total sugar content in apple using hyperspectral imaging technology

Luo

ZHANG

et al. 2022

Food Sci. Technol

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This paper explores the influence of the selection method of the region of interest (ROI) on the results in the total sugar of apple detection based on hyperspectral imaging technology. Taking Fuji apple as the detection object, the hyperspectral images of the samples were collected based on the 900~1750 nm hyperspectral imaging system, and the total sugar content of the samples was obtained based on the anthrone colorimetric method. The square ROI and circular ROI of different sizes were extracted. The average spectrum of the region was used to establish a quantitative analysis model of apple's total sugar content by partial least squares (PLS). The results show that apple's total sugar detection model established by extracting a circular ROI with a diameter of 25 pixels has the highest accuracy and strongest prediction ability(R c = 0.8977, RMSEC = 0.6459, R P = 0.8836, RMSEP = 0.6627). The research shows that selecting ROI with a suitable shape and size for the research object is of great significance for improving the accuracy of the prediction model of apple's total sugar content and giving play to the advantages of hyperspectral images.

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Section: Introductionmentioning

confidence: 99%

Study on the influence of region of interest on the detection of total sugar content in apple using hyperspectral imaging technology

Luo

ZHANG

et al. 2022

Food Sci. Technol

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show abstract

“…However, this imaging modality typically requires a spatial translational push sweep or a long gaze (during the scanning wavelength), to obtain the hyperspectral image of a scene. Both of these need to rely on a more stable carrying platform, limiting the application of hyperspectral imaging technology to some extent [11][12][13]. Dumke et al designed a push-broom underwater hyperspectral imaging (UHI) prototype, realizing the spectroscopic imaging of two hydrothermal SMS mounds in the TAG hydrothermal field at the Mid-Atlantic Ridge [14].…”

Section: Introductionmentioning

confidence: 99%

Underwater hyperspectral imaging bioinspired by chromatic blur vision

Chen¹,

Zhao²,

Liu³

et al. 2022

Bioinspir. Biomim.

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In the underwater environment, conventional hyperspectral imagers for imaging target scenes usually require stable carrying platforms for completing push sweep or complex optical components for beam splitting in long gaze imaging, which limits the system’s efficiency. In this paper, we put forward a novel underwater hyperspectral imaging system inspired by the visual features of typical cephalopods. We designed a visual bionic lens which enlarged the chromatic blur effect to further ensure that the system obtained blur images with high discrimination of different bands. Then, chromatic blur datasets were collected underwater to complete network training for hyperspectral image reconstruction. Based on the trained model, our system only required three frames of chromatic blur images as input to effectively reconstruct spectral images of 30 bands in the working light range from 430 nm to 720 nm. The results showed that the proposed hyperspectral imaging system exhibited good spectral imaging potential. Moreover, compared with the traditional gaze imaging, when obtaining similar hyperspectral images, the data sampling rate in the proposed system was reduced by 90%, and the exposure time of required images was only about 2.1 ms, reduced by 99.98%, which can greatly expand its practical application range. This experimental study illustrates the potential of chromatic blur vision for underwater hyperspectral imaging, which can provide rapid response in the recognition task of some underwater dynamic scenarios.

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Deep ultraviolet high-resolution microscopic hyperspectral imager and its biological tissue detection

Xue¹,

Yang²,

et al. 2023

Appl. Opt.

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Ultraviolet (UV) hyperspectral imaging technology is commonly used in the field of atmospheric remote sensing. In recent years, some in-laboratory research has been carried out for substance detection and identification. In this paper, UV hyperspectral imaging technology is introduced into microscopy to better utilize the obvious absorption characteristics of components, such as proteins and nucleic acids in biological tissues in the ultraviolet band. A deep UV microscopic hyperspectral imager based on the Offner structure with F# 2.5, low spectral keystone and smile is designed and developed. A 0.68 numerical aperture microscope objective is designed. The spectral range of the system is from 200 nm to 430 nm; the spectral resolution is better than 0.5 nm; and the spatial resolution is better than 1.3 µm. The K562 cells can be distinguished by transmission spectrum of nucleus. The UV microscopic hyperspectral image of the unstained mouse liver slices showed similar results to the microscopic image after hematoxylin and eosin staining, which could help to simplify the pathological examination process. Both results show a great performance in spatial and spectral detecting capabilities of our instrument, which has the potential for biomedical research and diagnosis.

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Underwater hyperspectral imaging system with dual-scanning mode

Cited by 4 publications

References 14 publications

Study on the influence of region of interest on the detection of total sugar content in apple using hyperspectral imaging technology

Study on the influence of region of interest on the detection of total sugar content in apple using hyperspectral imaging technology

Underwater hyperspectral imaging bioinspired by chromatic blur vision

Deep ultraviolet high-resolution microscopic hyperspectral imager and its biological tissue detection

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