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2012 IEEE International Conference on Imaging Systems and Techniques Proceedings最新文献

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Monitoring solid flow in a circulating fluidised bed with external heat exchanger by electrical capacitance tomography 电容层析成像法监测外置热交换器循环流化床内固体流动
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295490
H. G. Wang, G. Qiu, G. Zhao, X. Mou, Q. Lu, W. Yang
{"title":"Monitoring solid flow in a circulating fluidised bed with external heat exchanger by electrical capacitance tomography","authors":"H. G. Wang, G. Qiu, G. Zhao, X. Mou, Q. Lu, W. Yang","doi":"10.1109/IST.2012.6295490","DOIUrl":"https://doi.org/10.1109/IST.2012.6295490","url":null,"abstract":"Two circular electrical capacitance tomography (ECT) sensors have been designed and used to monitor the solids flow in a cold circulating fluidised bed (CFB) with an external heat exchanger (EHE). The ECT sensors have eight electrodes and were mounted in the side tube and return tube above the EHE via pneumatically controlled loop seal respectively. Dynamics test with different process conditions are given. Image reconstruction results in the cross-sectional of the two tubes are compared and averaged measured signals are given. The results indicate that the solid flow can be controlled in the EHE based on ECT measurement.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117048824","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
Characterization of tissue mimicking phantoms for acoustic radiation force impulse imaging 声辐射力脉冲成像中组织模拟幻象的表征
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295585
M. Kavitha, M. Reddy
{"title":"Characterization of tissue mimicking phantoms for acoustic radiation force impulse imaging","authors":"M. Kavitha, M. Reddy","doi":"10.1109/IST.2012.6295585","DOIUrl":"https://doi.org/10.1109/IST.2012.6295585","url":null,"abstract":"Tissue mimicking phantoms play a crucial role in the development of Acoustic Radiation Force Impulse Imaging. This paper deals with the preparation and study of agar based tissue mimicking phantoms. Acoustic and elastic properties are studied for various concentration of agar samples (1.7%-10% by weight). Acoustic properties are measured using pulse echo transmit receive principle. Young's modulus of the samples are measured using compression test. Reproducible phantom preparation procedures are standardised for matching various properties of normal and abnormal human soft tissues.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121560734","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: 8
Projective rectification of infrared image based on projective geometry 基于射影几何的红外图像射影校正
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295549
Xiaolu Li, Tao He, Lijun Xu, Lulu Chen, Zhanshe Guo
{"title":"Projective rectification of infrared image based on projective geometry","authors":"Xiaolu Li, Tao He, Lijun Xu, Lulu Chen, Zhanshe Guo","doi":"10.1109/IST.2012.6295549","DOIUrl":"https://doi.org/10.1109/IST.2012.6295549","url":null,"abstract":"Projective distortion caused by tilted camera brings great inconvenience to subsequent image processing and pattern recognition. In this paper, a method based on projective geometry is introduced to correct the projective distortion of infrared images. The dual conic in distortion image, which contains all the information of projective rectification, is identified firstly, and then the projective transformation matrix is derived by decomposing the dual conic. Finally, optimization is carried out to get the optimal result. Experimental results show that the method used in this paper can remove the projective distortion of infrared image effectively.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131692964","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: 0
Total variation image reconstruction for electrical capacitance tomography 电容层析成像的全变分图像重建
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295573
T. C. Chandrasekera, Yi Li, J. Dennis, D. Holland
{"title":"Total variation image reconstruction for electrical capacitance tomography","authors":"T. C. Chandrasekera, Yi Li, J. Dennis, D. Holland","doi":"10.1109/IST.2012.6295573","DOIUrl":"https://doi.org/10.1109/IST.2012.6295573","url":null,"abstract":"A new iterative reconstruction technique for electrical capacitance tomography (ECT) is presented. This method applies iterative soft thresholding to penalize the total variation of the ECT image. This method is shown to allow for sharp changes between different regions of simulated ECT images, unlike conventional iterative reconstruction techniques such as ART, SIRT and the Landweber iteration. The technique is demonstrated on experimental results for a phantom with distinct regions of gas and solid. The technique is therefore appropriate for the imaging of multiphase systems.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128330865","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: 17
Object recognition using saliency maps and HTM learning 使用显著性图和HTM学习的对象识别
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295575
I. Kostavelis, L. Nalpantidis, A. Gasteratos
{"title":"Object recognition using saliency maps and HTM learning","authors":"I. Kostavelis, L. Nalpantidis, A. Gasteratos","doi":"10.1109/IST.2012.6295575","DOIUrl":"https://doi.org/10.1109/IST.2012.6295575","url":null,"abstract":"In this paper a pattern classification and object recognition approach based on bio-inspired techniques is presented. It exploits the Hierarchical Temporal Memory (HTM) topology, which imitates human neocortex for recognition and categorization tasks. The HTM comprises a hierarchical tree structure that exploits enhanced spatiotemporal modules to memorize objects appearing in various orientations. In accordance with HTM's biological inspiration, human vision mechanisms can be used to preprocess the input images. Therefore, the input images undergo a saliency computation step, revealing the plausible information of the scene, where a human might fixate. The adoption of the saliency detection module releases the HTM network from memorizing redundant information and augments the classification accuracy. The efficiency of the proposed framework has been experimentally evaluated in the ETH-80 dataset, and the classification accuracy has been found to be greater than other HTM systems.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129802775","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: 19
Near-infrared hyper-spectral image analysis of astaxanthin concentration in fish feed coating 鱼饲料包衣中虾青素浓度的近红外高光谱图像分析
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295524
Martin Georg Ljungqvist, B. Ersbøll, Kenichi Kobayashi, S. Nakauchi, Stina Frosch, M. E. Nielsen
{"title":"Near-infrared hyper-spectral image analysis of astaxanthin concentration in fish feed coating","authors":"Martin Georg Ljungqvist, B. Ersbøll, Kenichi Kobayashi, S. Nakauchi, Stina Frosch, M. E. Nielsen","doi":"10.1109/IST.2012.6295524","DOIUrl":"https://doi.org/10.1109/IST.2012.6295524","url":null,"abstract":"The aim of this study was to investigate the possibility of predicting concentration levels of synthetic astaxanthin coating of aquaculture feed pellets by hyper-spectral image analysis in the near infra-red (NIR) range and optical filter design. The imaging devices used were a VideometerLab with 20 wavelengths in the range of 385-1050 nm, and a Specim camera with 256 wavelengths in the range of 970-2500 nm. Linear discriminant analysis (LDA), partial least squares regression (PLSR), and a modified stepwise random selection with ordinary least squares (OLS) for filter selection was used for prediction of the concentration level. The results show that it is possible to predict the level of synthetic astaxanthin coating using either hyper-spectral imaging or three bandpass filters (BPF).","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134547229","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
Image de-noising based on Hodrick-Prescott filtering 基于Hodrick-Prescott滤波的图像去噪
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295496
G. Thomas
{"title":"Image de-noising based on Hodrick-Prescott filtering","authors":"G. Thomas","doi":"10.1109/IST.2012.6295496","DOIUrl":"https://doi.org/10.1109/IST.2012.6295496","url":null,"abstract":"It is of great interest to effectively deal with noise that imaging sensors or external sources may have introduced to a digital image. During the years, de-noising techniques have been proposed to attenuate additive random noise but without a doubt it can be said that no algorithm exist that can completely eliminate it. Unfortunately this paper will not make such a claim but it changes the approach point of view on how to de-noise an image that has been corrupted by additive noise. The problem is viewed as having an original image represented by a stochastic trend component added to a random irregular term but in a similar way to what has been done by Hodrick and Prescott in the area of economics to study rapid fluctuations i.e. noise, that are too rapid with respect to a slower trend in a time series i.e. image. The method qualitatively produced good results when comparing it to wavelet based and adaptive Wiener filtering techniques. The proposed technique has also shown to be robust for the case of multiplicative noise.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130747470","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: 0
No-reference quality metric based on fuzzy neural network for subjective image watermarking evaluation 基于模糊神经网络的无参考质量度量主观图像水印评价
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295510
M. Gaata, Sattar Sadkhn, Saad Hasson
{"title":"No-reference quality metric based on fuzzy neural network for subjective image watermarking evaluation","authors":"M. Gaata, Sattar Sadkhn, Saad Hasson","doi":"10.1109/IST.2012.6295510","DOIUrl":"https://doi.org/10.1109/IST.2012.6295510","url":null,"abstract":"A new no-reference image quality metric is proposed to estimate the quality of watermarked images automatically based on fuzzy neural network. The aim is to use fuzzy neural network to learn the highly nonlinear relationship between the fuzzy similarity measures and the subjective quality rating, known as the mean opinion score (MOS) obtained from human viewers. In fact, our metric consists of four stages: first, transform watermarked image (crisp data set) into a fuzzy watermarked image (fuzzy data set). Second, fuzzy filtering process is applied to fuzzy watermarked image in order to generate its filtered image. Third, we use fuzzy watermarked image and its filtered image in the calculation of the fuzzy similarity measures as input to a neural network. Fourth; these measures are mixed using neural network model. The output of proposed metric is a single value corresponding to the MOS scores. Experimental results show that fusion of fuzzy similarity measures through the neural network indeed is able to accurately predict perceived quality of watermarked images.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131255019","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: 12
Ultrasound-image-based displacement and strain maps of the human carotid artery using weighted-least-squares optical flow 使用加权最小二乘光流的基于超声图像的人颈动脉位移和应变图
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295565
I. Apostolakis, A. Gastounioti, S. Golemati, K. Nikita
{"title":"Ultrasound-image-based displacement and strain maps of the human carotid artery using weighted-least-squares optical flow","authors":"I. Apostolakis, A. Gastounioti, S. Golemati, K. Nikita","doi":"10.1109/IST.2012.6295565","DOIUrl":"https://doi.org/10.1109/IST.2012.6295565","url":null,"abstract":"The mechanical displacements of the carotid artery wall during the cardiac cycle can be estimated using appropriate motion analysis methods. The waveforms resulting from such estimations can subsequently be used to quantify the elastic properties of arterial tissue. In this study weighted-least-squares optical flow (WLSOF) was used to produce radial and longitudinal displacement maps of extended segments of healthy and diseased arterial walls from B-mode ultrasound. Strain maps of the same segments were produced by compensating for the translational movement of the carotid artery walls and subsequently assessing the strain tensor by solving a nonlinear minimization problem with a modified version of the WLSOF algorithm. Displacement maps accurately estimated the motion of the healthy carotid artery and also revealed information about the motion of the soft tissues of the carotid artery which would otherwise be difficult to distinguish. Strain maps in the case of healthy carotid artery showed good reproducibility between different cardiac cycles, while in the case of atherosclerotic subjects additional validation is needed.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131260805","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
Effect of frame size on energy consumption in wireless image sensor networks 帧大小对无线图像传感器网络能耗的影响
2012 IEEE International Conference on Imaging Systems and Techniques Proceedings Pub Date : 2012-07-16 DOI: 10.1109/IST.2012.6295487
D. G. Costa, L. A. Guedes, F. Vasques, P. Portugal
{"title":"Effect of frame size on energy consumption in wireless image sensor networks","authors":"D. G. Costa, L. A. Guedes, F. Vasques, P. Portugal","doi":"10.1109/IST.2012.6295487","DOIUrl":"https://doi.org/10.1109/IST.2012.6295487","url":null,"abstract":"Wireless sensor networks composed of camera-enabled source nodes can provide visual information of an area of interest, potentially enriching monitoring applications. While few bytes can represent scalar data, even low-resolution still images may require thousand of bytes, turning data fragmentation into a relevant design issue. Different optimization approaches have been proposed in recent years to achieve energy saving in wireless image sensor networks. However, the impact of image fragmentation upon the adopted MAC technology has been neglected in most cases. In this work we investigate the effect of frame size on image transmissions over wireless sensor networks, linking the maximum frame size, the useful payload and the frame error rate effects. Additionally, we discuss different approaches for transmissions of DWT-based encoded images and the impact of inserting application-specific information into the frame header. We believe that our discussions can contribute to the advance of the design of wireless image sensor networks.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"334 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133081436","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: 16
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