Characterization of lung tissues using liquid-crystal tunable filter and hyperspectral imaging system

Author(s):  
Jong-Ha Lee ◽  
Chang-Hee Won
Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7120
Author(s):  
Axin Fan ◽  
Tingfa Xu ◽  
Xi Wang ◽  
Chang Xu ◽  
Yuhan Zhang

Polarized hyperspectral images can reflect the rich physicochemical characteristics of targets. Meanwhile, the contained plentiful information also brings great challenges to signal processing. Although compressive sensing theory provides a good idea for image processing, the simplified compression imaging system has difficulty in reconstructing full polarization information. Focused on this problem, we propose a two-step reconstruction method to handle polarization characteristics of different scales progressively. This paper uses a quarter-wave plate and a liquid crystal tunable filter to achieve full polarization compression and hyperspectral imaging. According to their numerical features, the Stokes parameters and their modulation coefficients are simultaneously scaled. The first Stokes parameter is reconstructed in the first step based on compressive sensing. Then, the last three Stokes parameters with similar order of magnitude are reconstructed in the second step based on previous results. The simulation results show that the two-step reconstruction method improves the reconstruction accuracy by 7.6 dB for the parameters that failed to be reconstructed by the non-optimized method, and reduces the reconstruction time by 8.25 h without losing the high accuracy obtained by the current optimization method. This feature scaling method provides a reference for the fast and high-quality reconstruction of physical quantities with obvious numerical differences.


2007 ◽  
Vol 79 (12) ◽  
pp. 4709-4715 ◽  
Author(s):  
Karel J. Zuzak ◽  
Sabira C. Naik ◽  
George Alexandrakis ◽  
Doyle Hawkins ◽  
Khosrow Behbehani ◽  
...  

2011 ◽  
Vol 135-136 ◽  
pp. 341-346
Author(s):  
Na Ding ◽  
Jiao Bo Gao ◽  
Jun Wang

A novel system of implementing target identification with hyperspectral imaging system based on acousto-optic tunable filter (AOTF) was proposed. The system consists of lens, AOTF, AOTF driver, CCD and image collection installation. Owing to the high spatial and spectral resolution, the system can operate in the spectral range from visible light to near infrared band. An experiment of detecting and recognizing of two different kinds of camouflage armets from background was presented. When the characteristic spectral wave bands are 680nm and 750nm, the two camouflage armets exhibit different spectral characteristic. The target camouflage armets in the hyperspectral images are distinct from background and the contrast of armets and background is increased. The image fusion, target segmentation and pick-up of those images with especial spectral characteristics were realized by the Hyperspectral Imaging System. The 600nm, 680nm, and 750nm images were processed by the Pseudo color fusion algorithm, thus the camouflage armets are more easily observed by naked eyes. Experimental results confirm that AOTF hyperspectral imaging system can acquire image of high contrast, and has the ability of detecting and identification camouflage objects.


2012 ◽  
Author(s):  
Weilin Wang ◽  
Changying Li ◽  
Ernest W Tollner ◽  
Ronald D Gitaitis ◽  
Glen C Rains

2016 ◽  
Vol 110 (3) ◽  
pp. 163a
Author(s):  
Adriano Vissa ◽  
Maximilano Giuliani ◽  
Christopher M. Yip

2018 ◽  
Vol 26 (19) ◽  
pp. 25226 ◽  
Author(s):  
Xi Wang ◽  
Yuhan Zhang ◽  
Xu Ma ◽  
Tingfa Xu ◽  
Gonzalo R. Arce

2021 ◽  
Vol 9 (11) ◽  
pp. 1206
Author(s):  
Hong Song ◽  
Syed Raza Mehdi ◽  
Chaopeng Wu ◽  
Zixin Li ◽  
Hai Gong ◽  
...  

In the past decade, underwater spectral imaging (USI) has shown great potential in underwater exploration for its high spectral and spatial resolution. This proposal presents a stare-type USI system combined with the liquid crystal tunable filter (LCTF) spectral splitting device. Considering the working features of LCTF and the theoretical model of USI, the core structure containing “imaging lens-LCTF-imaging sensor” is designed and developed. The system is compact, and the optical geometry is constructed minimally. The spectral calibration test analysis proved that the spectral response range of the system covers a full band of 400 nm to 700 nm with the highest spectral resolution between 6.7 nm and 18.5 nm. The experiments show that the system can quickly collect high-quality spectral image data by switching between different spectral bands arbitrarily. The designed prototype provides a feasible and reliable spectral imaging solution for in situ underwater targets observation with high spectrum collecting efficiency.


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