2017 IEEE International Conference on Imaging Systems and Techniques (IST)最新文献_第7页

3D simultaneous segmentation and registration of vertebral bodies for accurate BMD measurements 三维同步分割和登记的椎体精确的骨密度测量

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261450

Lisa Boneta, A. Shalaby, A. Refaey, K. Loukhaoukha, G. Giakos

引用次数: 0

Research on SNR prediction technology based on reservoir computing in wireless transmission of satellite communication system 基于储层计算的卫星通信系统无线传输信噪比预测技术研究

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261502

Tong Liu, Bowen Sun, Zhigang Li, Z. Dou

{"title":"Research on SNR prediction technology based on reservoir computing in wireless transmission of satellite communication system","authors":"Tong Liu, Bowen Sun, Zhigang Li, Z. Dou","doi":"10.1109/IST.2017.8261502","DOIUrl":"https://doi.org/10.1109/IST.2017.8261502","url":null,"abstract":"Due to the complexity of satellite communication channel and the large amount of data in satellite imaging scenarios, conventional SNR estimation method has low efficiency. Also, because of long distance and time delay between the satellite and the ground in wireless transmission system, estimate of channel state information has a certain degree of hysteresis. Reservoir computing(RC) is a recent neurologically inspired concept for processing time dependent data that lends itself particularly well to hardware implementation by using the device physics to conduct information processing. So, in this paper we describe the transmission characteristics of satellite communication channel and a simplified fading channel model is analyzed. Besides, a method is proposed for predicting channel SNR with reservoir computing(RC), and an Echo State Network(ESN), which is a class of RC approach has been used for training a neural network to estimate the channel state information. The simulation results suggest that it can improve the accuracy of SNR estimation in wireless transmission of satellite communication system and make it more efficient.","PeriodicalId":187213,"journal":{"name":"2017 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115243481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Experimental investigation of gas-oil two-phase flow using electrical capacitance tomography 气-油两相流电容层析成像实验研究

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261467

Yinyan Liu, Yuchi Deng, Yi Li

引用次数: 2

Applied microwave imaging of composite structures using open-ended circular waveguide 开放式圆波导复合材料结构的微波成像应用

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261531

K. T. M. Shafi, Mohammed Saif ur Rahman, M. Abou-Khousa, M. R. Ramzi

{"title":"Applied microwave imaging of composite structures using open-ended circular waveguide","authors":"K. T. M. Shafi, Mohammed Saif ur Rahman, M. Abou-Khousa, M. R. Ramzi","doi":"10.1109/IST.2017.8261531","DOIUrl":"https://doi.org/10.1109/IST.2017.8261531","url":null,"abstract":"Thick multi-layer dielectric composite materials are integral part of many industries like aerospace, marine, petrochemical, etc. It is very important to ensure that these materials are of good quality and free from any kind of defects since these materials are used for critical applications. Several Non-destructive testing (NDT) methods have been applied to test and evaluate any flaws in these materials. In this paper, a waveguide based microwave NDT technique is used to interrogate the composite materials. A custom made Teflon loaded circular waveguide is employed for the inspection of defects in a test sample. The multi-layer composite structure and the waveguide are modeled in a numerical electromagnetic simulation software. The sensitivity of the circular probe to air inclusions in the composite is checked at 24 GHz by analysing the electric field variation at the defected layers. In addition to this, the response of the circular waveguide to the composite structure defects is compared to that of a conventional air filled rectangular waveguide at the same frequency point. The numerical simulation results are validated by imaging a practical five-layer honeycomb composite sample. The measured results are compared with the images produced using both the waveguide probes. It is observed that the circular probe is better in terms of resolution compared to the conventional rectangular waveguide.","PeriodicalId":187213,"journal":{"name":"2017 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125368993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Multiresolution bioinspired cross-polarized imaging and biostatistics of lung cancer tissue samples 肺癌组织样本的多分辨率生物激发交叉极化成像和生物统计学

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261458

Gloria Bauman, S. Shrestha, Kiera Mallinson, Zoe Giakos, Michael Surovich, Yi Wang, G. Livanos, M. Zervakis, Na Ying, G. Giakos

{"title":"Multiresolution bioinspired cross-polarized imaging and biostatistics of lung cancer tissue samples","authors":"Gloria Bauman, S. Shrestha, Kiera Mallinson, Zoe Giakos, Michael Surovich, Yi Wang, G. Livanos, M. Zervakis, Na Ying, G. Giakos","doi":"10.1109/IST.2017.8261458","DOIUrl":"https://doi.org/10.1109/IST.2017.8261458","url":null,"abstract":"The novelty of this study consists in the development of a technique for efficient discrimination of lung tissues pathologies consisting of squamous carcinomas, at varying grade, stage, including necrotic tissues. Polarimetric measurements using a home-built Whole Slide Imaging (WSI) polarized light imaging system, operating under diffuse reflectance, were obtained. Images were acquired, under diffuse reflectance imaging, then processed through wavelet decomposition, statistically analyzed and compared using Pearson correlation coefficient analysis. The outcome of this study indicates that cross-polarized polarimetric wavelet analysis of samples is proved superior with respect the polarization per se analysis, providing therefore enhanced discrimination. The novel observations of this study can be applied towards the implementation of bioinspired vision systems as well as for further enhancement of the quality of imaging systems and devices in the areas of Whole-Slide Imaging (WSI) in conjunction to virtual Microscopy (VM) and imaging of margins.","PeriodicalId":187213,"journal":{"name":"2017 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114542872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

The research of face detection method based on adaboost algorithm and skin color segmentation 基于adaboost算法和肤色分割的人脸检测方法研究

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261538

Liu Chang

引用次数: 1

Effect of parasitic resistance in electrical resistance tomography with voltage excitation 电压激励下电阻层析成像中寄生电阻的影响

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261552

M. Frias, Wuqiang Yang

引用次数: 9

Coupled K-SVD dictionary learning algorithm in wavelet domain for single image super-resolution 单幅图像超分辨率的小波域耦合K-SVD字典学习算法

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261520

Junaid Ahmed, Gulsher Baloch, H. Ozkaramanli

{"title":"Coupled K-SVD dictionary learning algorithm in wavelet domain for single image super-resolution","authors":"Junaid Ahmed, Gulsher Baloch, H. Ozkaramanli","doi":"10.1109/IST.2017.8261520","DOIUrl":"https://doi.org/10.1109/IST.2017.8261520","url":null,"abstract":"In sparse-land model, Single Image Super Resolution (SISR) is achieved by highly vulnerable assumption that the sparse coefficients of low and high resolution image patch are similar. To overcome this weak assumption, a coupled K-Singular Value Decomposition (K-SVD) algorithm in wavelet domain is proposed. In proposed algorithm the best low-rank approximation given by SVD is implemented to simultaneously update the Low Resolution (LR) and High Resolution (HR) dictionaries by enforcing the equality of the sparse representation coefficients at two resolution levels. In this paper, we have exploited the directionality and scale persistence property of wavelet domain. Such properties ensure that coupling between signal features at two consecutive levels becomes more prominent. Three pairs of coupled low and high resolution wavelet sub-band dictionaries are designed. Given the low resolution image, sparse coefficients are approximated using the low resolution dictionary then high resolution image is reconstructed using the calculated sparse coefficients and high resolution dictionary. Compared to the state of the art algorithms, results are significantly improved in terms of PSNR and SSIM quality measures.","PeriodicalId":187213,"journal":{"name":"2017 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115257368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Real-time implementation of stereo vision based on optimised normalised cross-correlation and propagated search range on a GPU 基于优化归一化互相关和传播搜索范围的立体视觉在GPU上的实时实现

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261486

Rui Fan, N. Dahnoun

{"title":"Real-time implementation of stereo vision based on optimised normalised cross-correlation and propagated search range on a GPU","authors":"Rui Fan, N. Dahnoun","doi":"10.1109/IST.2017.8261486","DOIUrl":"https://doi.org/10.1109/IST.2017.8261486","url":null,"abstract":"Due to the trade-offs between accuracy and speed, binocular stereo vision is still a challenging task in 3D computer vision research area. In this paper, an efficient stereo matching algorithm is implemented on a state-of-the-art GPU to achieve highly accurate disparity maps in real time for various autonomous vehicle applications. The proposed algorithm is developed from our previous paper, where the search range at row v is propagated from three estimated neighbourhood disparities located at row v + 1. In order to speed up the execution, the prevalent NCC algorithm is optimised by factorising the equation into five independent parts. The computations of hi, Hr, aj and ar are accelerated by using the integral images II, Ir, 12 and Ir2. The values of h and a are stored in static program storage for indexing during the stereo matching, which further reduces expensive calculations to help the system perform in real time. The main purpose of this work is to accelerate the processing speed by highly exploiting the parallel computing architectures (OpenMP and CUDA). The performance of the implementation on an NVIDIA GTX 970M GPU is compared with the performance of the implementations on an Intel Core i7-4720HQ CPU using both single thread and multiple threads. The experimental results illustrate that the GPU implementation yields 37 fps when processing the images (resolution: 1242 × 375) from the KITTI database, which is between two and nine times faster than the implementations on the CPU using a different number of threads.","PeriodicalId":187213,"journal":{"name":"2017 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122446419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

Real-time user selected dynamic template tracking for UAV 实时用户选择动态模板跟踪无人机

2017 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2017-10-01 DOI: 10.1109/IST.2017.8261485

Fabio Mendez, M. Ferguson, N. Dahnoun, S. Tancock

{"title":"Real-time user selected dynamic template tracking for UAV","authors":"Fabio Mendez, M. Ferguson, N. Dahnoun, S. Tancock","doi":"10.1109/IST.2017.8261485","DOIUrl":"https://doi.org/10.1109/IST.2017.8261485","url":null,"abstract":"Template matching algorithms describe the way a tracker is able to follow an object by comparing two templates. Representing information about the object to be tracked and the other about the frame that is being analysed. Previous implementations prove to be sensible to partial occlusion, updating the model template even in cases where the line of sight between the camera and the object is being partially blocked, producing a misrepresentation of the object's features. This paper proposes a dynamic template update, using normalised cross correlation as a similarity metric. Using the response given by the similarity, it is possible to determine ranges in which to update the model of the object. With this, the algorithm is able to keep relevant information about the object when it is partially or completely occluded. The main assumption made during the development of most template tracking algorithms is the prior knowledge of the object's location and dimensions in the initial frame. This paper proposes an interactive implementation where the prior information that is needed can be obtained from a single point in the object using segmentation. The implementation of the algorithm described produced reliable and real-time results (30 frames per second) on the NVIDIA Jetson TX1 platform.","PeriodicalId":187213,"journal":{"name":"2017 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122683707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2