Real-time polarization imaging algorithm for camera-based polarization navigation sensors

2017 ◽  
Vol 56 (11) ◽  
pp. 3199 ◽  
Author(s):  
Hao Lu ◽  
Kaichun Zhao ◽  
Zheng You ◽  
Kaoli Huang
2017 ◽  
Vol 10 (2) ◽  
pp. 169-178 ◽  
Author(s):  
Shouhei Kidera ◽  
Luz Maria Neira ◽  
Barry D. Van Veen ◽  
Susan C. Hagness

Microwave ablation is widely recognized as a promising minimally invasive tool for treating cancer. Real-time monitoring of the dimensions of the ablation zone is indispensable for ensuring an effective and safe treatment. In this paper, we propose a microwave imaging algorithm for monitoring the evolution of the ablation zone. Our proposed algorithm determines the boundary of the ablation zone by exploiting the time difference of arrival (TDOA) between signals received before and during the ablation at external antennas surrounding the tissue, using the interstitial ablation antenna as the transmitter. A significant advantage of this method is that it requires few assumptions about the dielectric properties of the propagation media. Also the simplicity of the signal processing, wherein the TDOA is determined from a cross-correlation calculation, allows real-time monitoring and provides robust performance in the presence of noise. We investigate the performance of this approach for the application of breast tumor ablation. We use simulated array measurements obtained from finite-difference time-domain simulations of magnetic resonance imaging-derived numerical breast phantoms. The results demonstrate that our proposed method offers the potential to achieve millimeter-order accuracy and real-time operation in estimating the boundary of the ablation zone in heterogeneous and dispersive breast tissue.


Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 541 ◽  
Author(s):  
Željko Bugarinović ◽  
Lara Pajewski ◽  
Aleksandar Ristić ◽  
Milan Vrtunski ◽  
Miro Govedarica ◽  
...  

This paper focuses on the use of the Canny edge detector as the first step of an advanced imaging algorithm for automated detection of hyperbolic reflections in ground-penetrating radar (GPR) data. Since the imaging algorithm aims to work in real time; particular attention is paid to its computational efficiency. Various alternative criteria are designed and examined, to fasten the procedure by eliminating unnecessary edge pixels from Canny-processed data, before such data go through the subsequent steps of the detection algorithm. The effectiveness and reliability of the proposed methodology are tested on a wide set of synthetic and experimental radargrams with promising results. The finite-difference time-domain simulator gprMax is used to generate synthetic radargrams for the tests, while the real radargrams come from GPR surveys carried out by the authors in urban areas. The imaging algorithm is implemented in MATLAB.


2012 ◽  
Vol 9 (21) ◽  
pp. 1660-1665
Author(s):  
Jian Yang ◽  
Chang Liu ◽  
Yanfei Wang
Keyword(s):  

2021 ◽  
Author(s):  
Huiting Xia ◽  
Jinqiang Zhang ◽  
Chaowei Fu ◽  
Haitao Wang

2021 ◽  
Author(s):  
Jiaqi Pan ◽  
Zhaoyang Zeng ◽  
Hui Wang ◽  
Wei Hua ◽  
Sili Wu

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2562 ◽  
Author(s):  
Guang-Cai Sun ◽  
Yanbin Liu ◽  
Mengdao Xing ◽  
Shiyu Wang ◽  
Liang Guo ◽  
...  

Conventional synthetic aperture radar (SAR) imaging algorithms usually require a period of time to process data that is longer than the time it takes to record one synthetic aperture or that corresponding to an adequate azimuth resolution. That is to say, the real-time processing system is idle during the long data recording time and the utilization of computational resources is low. To deal with this problem, a real-time imaging algorithm based on sub-aperture chirp scaling dechirp (CS-dechirp) is proposed in this paper. With CS-dechirp, the sub-aperture data could be processed to form an image with relatively low resolution. Subsequently, a few low-resolution images are generated as longer azimuth data are recorded. At the stage of full-resolution image generation, a coherent combination method for the low-resolution complex-value images is developed. As the low-resolution complex-value images are coherently combined one by one, the resolution is gradually improved and the full-resolution image is finally obtained. The results of a simulation and real data from the GF3-SAR validate the effectiveness of the proposed algorithm.


2019 ◽  
Vol 66 (11) ◽  
pp. 3212-3219
Author(s):  
Viksit Kumar ◽  
Minako Katayama ◽  
Rachael Peavler ◽  
Azra Alizad ◽  
Marek Belohlavek ◽  
...  

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