Multi-spectral imaging using LED illuminations

Li, Hongning; Feng, Jiashi; Yang, Weiping; Wang, Liang; Xu, Hengyong; Cao, Pengfei; Duan, Jian-jun

doi:10.1109/cisp.2012.6469964

Cited by 7 publications

(7 citation statements)

References 11 publications

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“…A common layout is the ring layout, where all LEDs are arranged in a circle. 22,24,25,38 Li et al 212 proposed a different setup where the LEDs were arranged in a mosaic fashion, however warned that this arrangement can lead to nonuniform lighting for different wavelengths. Bolton et al 37 arranged the 16-LED setup into a 4 × 4 rectangular array.…”

Section: Light-emitting Diodementioning

confidence: 99%

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Compact and ultracompact spectral imagers: technology and applications in biomedical imaging

Tran

Fei

2023

J. Biomed. Opt.

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. Significance Spectral imaging, which includes hyperspectral and multispectral imaging, can provide images in numerous wavelength bands within and beyond the visible light spectrum. Emerging technologies that enable compact, portable spectral imaging cameras can facilitate new applications in biomedical imaging. Aim With this review paper, researchers will (1) understand the technological trends of upcoming spectral cameras, (2) understand new specific applications that portable spectral imaging unlocked, and (3) evaluate proper spectral imaging systems for their specific applications. Approach We performed a comprehensive literature review in three databases (Scopus, PubMed, and Web of Science). We included only fully realized systems with definable dimensions. To best accommodate many different definitions of “compact,” we included a table of dimensions and weights for systems that met our definition. Results There is a wide variety of contributions from industry, academic, and hobbyist spaces. A variety of new engineering approaches, such as Fabry–Perot interferometers, spectrally resolved detector array (mosaic array), microelectro-mechanical systems, 3D printing, light-emitting diodes, and smartphones, were used in the construction of compact spectral imaging cameras. In bioimaging applications, these compact devices were used for in vivo and ex vivo diagnosis and surgical settings. Conclusions Compact and ultracompact spectral imagers are the future of spectral imaging systems. Researchers in the bioimaging fields are building systems that are low-cost, fast in acquisition time, and mobile enough to be handheld.

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Section: Light-emitting Diodementioning

confidence: 99%

“…A common layout is the ring layout, where all LEDs are arranged in a circle 22 , 24 , 25 , 38 . Li et al 212 . proposed a different setup where the LEDs were arranged in a mosaic fashion, however warned that this arrangement can lead to nonuniform lighting for different wavelengths.…”

Section: Technical Aspects Of Compact Spectral Camerasmentioning

confidence: 99%

Compact and ultracompact spectral imagers: technology and applications in biomedical imaging

Tran

Fei

2023

J. Biomed. Opt.

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“…This conventional configuration of multispectral imaging system modulates the incoming light based on the different transmission spectra of the filters. This makes the decoupling of the reflectance properties of the material and the incident light very difficult in addition to position mismatch, changes in imaging focal length and uneven brightness [ 61 ]. Although these filter-based systems are greatly adaptable, they are inherently slow and costly [ 62 ].…”

Section: Colour Hyperspectral and Multispectral Imagingmentioning

confidence: 99%

“…The spectral reflectance S ( λ ) of a point in the scene is determined by the imaged material itself that characterizes the property of the object. If the scene’s spectral reflectance is given, it is possible to calculate the imaging result under different combination of any type of camera and light source [ 61 ]. Therefore, to add more information in the acquired multispectral images, the target samples could be imaged in the visible and invisible ranges of the electromagnetic spectrum to increase the discriminating capacity of the system for better characterization of the biological objects being imaged [ 12 ].…”

Section: Colour Hyperspectral and Multispectral Imagingmentioning

confidence: 99%

Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview

ElMasry

Mandour

Al-Rejaie

et al. 2019

Sensors

139

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As a synergistic integration between spectroscopy and imaging technologies, spectral imaging modalities have been emerged to tackle quality evaluation dilemmas by proposing different designs with effective and practical applications in food and agriculture. With the advantage of acquiring spatio-spectral data across a wide range of the electromagnetic spectrum, the state-of-the-art multispectral imaging in tandem with different multivariate chemometric analysis scenarios has been successfully implemented not only for food quality and safety control purposes, but also in dealing with critical research challenges in seed science and technology. This paper will shed some light on the fundamental configuration of the systems and give a birds-eye view of all recent approaches in the acquisition, processing and reproduction of multispectral images for various applications in seed quality assessment and seed phenotyping issues. This review article continues from where earlier review papers stopped but it only focused on fully-operated multispectral imaging systems for quality assessment of different sorts of seeds. Thence, the review comprehensively highlights research attempts devoted to real implementations of only fully-operated multispectral imaging systems and does not consider those ones that just utilized some key wavelengths extracted from hyperspectral data analyses without building independent multispectral imaging systems. This makes this article the first attempt in briefing all published papers in multispectral imaging applications in seed phenotyping and quality monitoring by providing some examples and research results in characterizing physicochemical quality traits, predicting physiological parameters, detection of defect, pest infestation and seed health.

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“…The second approach adopts coupled light sources that emit full-spectrum light (white light) or time-multiplexed illumination with narrowband lights [ 27 , 28 ]. For example, Park et al, Li et al, and Wang et al [ 29 , 30 , 31 ] used mixed RGB light sources to illuminate the scene and a typical RGB camera to capture photos to identify the ideal multiplexing sequence of the spectrum sources. Using a light-diffusing reflector, HyperCam [ 32 ] reduces the number of LEDs with extended size.…”

Section: Introductionmentioning

confidence: 99%

Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment

Tang

Song

Gui

et al. 2023

Sensors

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Hyperspectral imaging is capable of capturing information beyond conventional RGB cameras; therefore, several applications of this have been found, such as material identification and spectral analysis. However, similar to many camera systems, most of the existing hyperspectral cameras are still passive imaging systems. Such systems require an external light source to illuminate the objects, to capture the spectral intensity. As a result, the collected images highly depend on the environment lighting and the imaging system cannot function in a dark or low-light environment. This work develops a prototype system for active hyperspectral imaging, which actively emits diverse single-wavelength light rays at a specific frequency when imaging. This concept has several advantages: first, using the controlled lighting, the magnitude of the individual bands is more standardized to extract reflectance information; second, the system is capable of focusing on the desired spectral range by adjusting the number and type of LEDs; third, an active system could be mechanically easier to manufacture, since it does not require complex band filters as used in passive systems. Three lab experiments show that such a design is feasible and could yield informative hyperspectral images in low light or dark environments: (1) spectral analysis: this system’s hyperspectral images improve food ripening and stone type discernibility over RGB images; (2) interpretability: this system’s hyperspectral images improve machine learning accuracy. Therefore, it can potentially benefit the academic and industry segments, such as geochemistry, earth science, subsurface energy, and mining.

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Multi-spectral imaging using LED illuminations

Cited by 7 publications

References 11 publications

Compact and ultracompact spectral imagers: technology and applications in biomedical imaging

Compact and ultracompact spectral imagers: technology and applications in biomedical imaging

Recent Applications of Multispectral Imaging in Seed Phenotyping and Quality Monitoring—An Overview

Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment

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