Handheld high resolution multispectral imaging device for study of Cushing syndrome (Conference Presentation)

2018 ◽  
Author(s):  
Siddharth Khare ◽  
Ali Afshari ◽  
Afrouz Anderson ◽  
Constantine A. Stratakis ◽  
Amir H. Gandjbakhche
Keyword(s):  
High Resolution ◽  
Multispectral Imaging ◽  
Cushing Syndrome ◽  
Imaging Device

High-resolution multispectral imaging system for improved color acquisition and reproduction

2000 ◽  
Author(s):  
Juerg Haefliger ◽  
R. Stein ◽  
Heinrich Walt ◽  
Peter F. Niederer
Keyword(s):  
High Resolution ◽  
Multispectral Imaging ◽  
Imaging System

scholarly journals An Improved Jitter Detection Method Based on Parallax Observation of Multispectral Sensors for Gaofen-1 02/03/04 Satellites

2018 ◽  
Vol 11 (1) ◽  
pp. 16 ◽  
Author(s):  
Ying Zhu ◽  
Mi Wang ◽  
Yufeng Cheng ◽  
Luxiao He ◽  
Lin Xue
Keyword(s):  
High Resolution ◽  
Multispectral Imaging ◽  
Detection Method ◽  
Negative Influence ◽  
Detection Accuracy ◽  
Comparison Results ◽  
Geometric Quality ◽  
Along Track ◽  
Internal Error ◽  
Multispectral Sensors

Gaofen-1 02/03/04 satellites, the first civilian high resolution optical operational constellation in China, have Earth observation capabilities with panchromatic/multispectral imaging at 2/8 m resolution. Satellite jitter, the fluctuation of satellite points, has a negative influence on the geometric quality of high-resolution optical satellite imagery. This paper presents an improved jitter detection method based on parallax observation of multispectral sensors for Gaofen-1 02/03/04 satellites, which can eliminate the effect of the relative internal error induced by lens distortion, and accurately estimate the parameters of satellite jitter. The relative internal error is estimated by polynomial modelling and removed from the original parallax image generated by pixel-to-pixel image matching between two bands of images. The accurate relative time-varying error and absolute distortion caused by satellite jitter could be estimated by using the sine function. Three datasets of multispectral images captured by Gaofen-1 02/03/04 satellites were used to conduct the experiments. The results show that the relative system errors in both the across- and along-track directions can be modelled with a quadratic polynomial, and satellite jitter with a frequency of 1.1–1.2 Hz in the across-track direction was detected for the first time. The amplitude of the jitter differed in the three datasets. The largest amplitude, from satellite 04, is 1.3 pixels. The smallest amplitude, from satellite 02, is 0.077 pixels. The reliability and accuracy of the detection results were verified by using two groups of band combinations and ortho-images with a 1 m resolution. The comparison results show that the detection accuracy is improved by approximately 30% using the proposed method.

Assessment of anterior segment measurements using a high-resolution imaging device

2020 ◽  
Vol 17 (9) ◽  
pp. 969-979
Author(s):  
Robert Montés-Micó ◽  
Pedro Tañá-Rivero ◽  
Salvador Aguilar-Córcoles ◽  
Ramón Ruíz-Mesa
Keyword(s):  
High Resolution ◽  
Anterior Segment ◽  
High Resolution Imaging ◽  
Imaging Device ◽  
Resolution Imaging

An Efficient Imaging Strategy for Single Pixel Camera

2013 ◽  
Vol 475-476 ◽  
pp. 383-387 ◽  
Author(s):  
Chuan Rong Li ◽  
Qi Wang
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Compressive Sensing ◽  
Simulation Experiment ◽  
Ghost Imaging ◽  
Imaging Device ◽  
Imaging Strategy ◽  
Application Requirements ◽  
Single Pixel ◽  
Reconstruction Time

Single pixel camera is a new imaging device that develops from the ghost imaging and compressive sensing theory. For high resolution remote sensing imaging with large amount of data, the process of measurement and reconstruction is time-consuming, which limits its application to remote sensing area. Based on the analysis of the configuration of the single pixel camera, an efficient imaging strategy through combining different numbers of micro mirrors was proposed. Simulation experiment was carried out for the scene consisting of a ship in the ocean. Three types of images, in low, middle and high resolution, are constructed respectively by the control of DMD working area and the strategy to combining DMD mirrors. The reconstructed images reached the application requirements at very low measurement and reconstruction time cost. The effectiveness and practicality of this strategy could be applied to other compressive sensing imaging devices.

High-resolution multispectral imaging with random coded exposure

2013 ◽  
Vol 7 (1) ◽  
pp. 073695 ◽  
Author(s):  
Dahua Gao ◽  
Danhua Liu ◽  
Xuemei Xie ◽  
Xiaolin Wu ◽  
Guangming Shi
Keyword(s):  
High Resolution ◽  
Multispectral Imaging ◽  
Coded Exposure

scholarly journals Over 1000 nm Near-Infrared Multispectral Imaging System for Laparoscopic In Vivo Imaging

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2649
Author(s):  
Toshihiro Takamatsu ◽  
Yuichi Kitagawa ◽  
Kohei Akimoto ◽  
Ren Iwanami ◽  
Yuto Endo ◽  
...  
Keyword(s):  
Near Infrared ◽  
Multispectral Imaging ◽  
Imaging System ◽  
Data Sets ◽  
Imaging Device ◽  
Tumor Implantation ◽  
Before And After ◽  
Validation Procedure ◽  
Leave One Out

In this study, a laparoscopic imaging device and a light source able to select wavelengths by bandpass filters were developed to perform multispectral imaging (MSI) using over 1000 nm near-infrared (OTN-NIR) on regions under a laparoscope. Subsequently, MSI (wavelengths: 1000–1400 nm) was performed using the built device on nine live mice before and after tumor implantation. The normal and tumor pixels captured within the mice were used as teaching data sets, and the tumor-implanted mice data were classified using a neural network applied following a leave-one-out cross-validation procedure. The system provided a specificity of 89.5%, a sensitivity of 53.5%, and an accuracy of 87.8% for subcutaneous tumor discrimination. Aggregated true-positive (TP) pixels were confirmed in all tumor-implanted mice, which indicated that the laparoscopic OTN-NIR MSI could potentially be applied in vivo for classifying target lesions such as cancer in deep tissues.

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