Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis

Ivorra, Eugenio; Verdú, Samuel; Sanchez, Alberto; Grau, Raúl; Baviera, José Manuel Barat

doi:10.3390/s16101735

Cited by 11 publications

(3 citation statements)

References 37 publications

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“…During system design, the choice and matching of the two techniques are obviously crucial for the system performance, such as spatial and spectral resolution, fusion precision, and imaging time. A straightforward approach is to use a 3D imager and a hyperspectral sensor that separately collect spatial and spectral data as done by Ivorra et al, who utilized a 3D structured light system combined with a hyperspectral shortwave near-infrared system to estimate the freshness of gilthead sea bream [35]. However, as the two systems were not integrated but worked separately, one-to-one correspondence between the 3D and spectral data could not be established.…”

Section: Introductionmentioning

confidence: 99%

Portable 4d Snapshot Hyperspectral Imager for Fastspectral and Surface Morphology Measurements

Luo¹,

Lin²,

Xing³

et al. 2022

PIER

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A portable 4D snapshot hyperspectral imager (P4DS imager) with compact size, fast imaging time, low cost, and simple design is proposed and demonstrated. The key components of the system are a projector, a liquid crystal tunable filter (LCTF), and a camera. It has two operating modes depending on the set state of the LCTF: a 3D light measurement mode that produces a 3D point cloud reconstruction of an object and a hyperspectral imaging mode yielding spectral data. The camera imaging plane is the same for both operating modes allowing the collected spatial and spectral data to be directly fused into a 4D data set without post-processing. The P4DS imager has excellent performance with a spectral resolution of 10 nm, a spatial depth accuracy of 55.7 µm, and a total 4D imaging time of 0.8 s. 4D imaging experiments of three different samples, namely, a colored figurine, green broccoli, and a human face, are presented to demonstrate the efficiency and applicability of the system. Due to being cost-effective, portable, and good imaging performance, the proposed system is suitable for commercialization and mass production.

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Section: Introductionmentioning

confidence: 99%

Portable 4d Snapshot Hyperspectral Imager for Fastspectral and Surface Morphology Measurements

Luo¹,

Lin²,

Xing³

et al. 2022

PIER

View full text Add to dashboard Cite

show abstract

“…Thus, depth information could be projected to the spectral image coordinate and assigned to the single pixels [ 13 ]. A similar approach was applied to the freshness predictions of fish using a structured-light system and a hyperspectral camera on a conveyor belt [ 23 ]. Brusco et al proposed a system for automatic construction of spectral 3D models of architecture [ 24 ] using a point-based range finder and a slit-based spectrometer.…”

Section: Introductionmentioning

confidence: 99%

A High Throughput Integrated Hyperspectral Imaging and 3D Measurement System

Zhao

Shi

et al. 2018

Sensors

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Hyperspectral and three-dimensional measurements can obtain the intrinsic physicochemical properties and external geometrical characteristics of objects, respectively. The combination of these two kinds of data can provide new insights into objects, which has gained attention in the fields of agricultural management, plant phenotyping, cultural heritage conservation, and food production. Currently, a variety of sensors are integrated into a system to collect spectral and morphological information in agriculture. However, previous experiments were usually performed with several commercial devices on a single platform. Inadequate registration and synchronization among instruments often resulted in mismatch between spectral and 3D information of the same target. In addition, using slit-based spectrometers and point-based 3D sensors extends the working hours in farms due to the narrow field of view (FOV). Therefore, we propose a high throughput prototype that combines stereo vision and grating dispersion to simultaneously acquire hyperspectral and 3D information. Furthermore, fiber-reformatting imaging spectrometry (FRIS) is adopted to acquire the hyperspectral images. Test experiments are conducted for the verification of the system accuracy, and vegetation measurements are carried out to demonstrate its feasibility. The proposed system is an improvement in multiple data acquisition and has the potential to improve plant phenotyping.

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“…It has been proved that the integration of hyperspectral data and 3D structure data provides improved outcomes distinctly over use of either data set alone [6,7]. Some researchers have studied the application of the integration and various instruments have been proposed to combine the two techniques to realize an integrated measurement.…”

Section: Introductionmentioning

confidence: 99%

Integrated System for Auto-Registered Hyperspectral and 3D Structure Measurement at the Point Scale

Zhao

Shi

et al. 2017

Remote Sensing

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Hyperspectral and 3D structure measurement are among the active research areas of remote sensing in recent years. The combination of these two kinds of information can provide improved outcomes distinctly, which is widely used in vegetation physiology, precision agriculture and radiative transfer modeling. However, the registration and synchronization has been overlooked in data acquisition. The mismatched characteristics have limited the potential application of the hyperspectral and 3D structure data as a complete data set. This paper proposes a laboratory prototype which can integrate the hyperspectral and 3D structure measurement at the point scale. The prism dispersion and laser triangulation ranging are performed in a common optical path as a result of the coplanar design of the critical optical devices. The hyperspectral data and depth data of the same object point are acquired from the same focal plane, which makes the data auto-registered spatially and temporally. Test experiment verifies the accuracy of the data provided by the prototype and the actual measurement experiment demonstrates the feasibility of the design in vegetation observation.

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Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis

Cited by 11 publications

References 37 publications

Portable 4d Snapshot Hyperspectral Imager for Fastspectral and Surface Morphology Measurements

Portable 4d Snapshot Hyperspectral Imager for Fastspectral and Surface Morphology Measurements

A High Throughput Integrated Hyperspectral Imaging and 3D Measurement System

Integrated System for Auto-Registered Hyperspectral and 3D Structure Measurement at the Point Scale

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