{"title":"Three-dimensional electrical capacitance tomography measurement system based on an impedance analyzer","authors":"Yinggang Zhou, Delong Liu, Hua Yan","doi":"10.1109/IST.2013.6729733","DOIUrl":"https://doi.org/10.1109/IST.2013.6729733","url":null,"abstract":"This thesis designs a three-dimensional (3D) electrical capacitance tomography (ECT) measurement system based on an impedance analyzer. The measurement system is consisting of a 3D ECT sensor with 12 electrodes, a WK65120B impedance analyzer, a specially designed multi-channel switched system and a PC. Using the QT software to control multi-channel switch system and impedance analyzer, we can achieve the automatic capacitance measurement of 12 plates of 3D capacitance sensor without affecting the measurement accuracy, and save the measurement data on the computer. Compared with direct impedance analyzer, the measurement speed and stability are improved. Experiments show that the system can automatically measure all the 66 capacitance values generated by the 3D ECT sensor with low drift, high resolution and high accuracy.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122753386","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}
{"title":"Using visual segments and spatial layouts for unsupervised object co-segmentation","authors":"Linjia Sun, X. Liang, Min Liu","doi":"10.1109/IST.2013.6729691","DOIUrl":"https://doi.org/10.1109/IST.2013.6729691","url":null,"abstract":"Given a set of images containing the instances of the same object class, the proposed method not only partitions every image into object and background, but also parses every object into several visual segments. Unlike the semantic parts based on high-level concepts, the visual segments prefer focusing on the low-level visual features which are easier to find and match from one image to other image by simple similarity measurement. Towards this goal, an iterative process is performed in the image set, including the appearance models learning and the energy function minimizing. The initial appearance models are learned from the image set according to the saliency measurement and the objectness measurement, including the segment models and the background model. Specifically, a novel inter-image constraint is exploited in the energy function by using the layout-based similarity measurement. By experiments on a variety of image datasets, the proposed approach efficiently segments and parses the object instances with varying appearance and shape, under challenging environmental conditions.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132759267","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}
{"title":"A compression system for colored images based on color characteristics","authors":"S. Sohail, A. S. Kazmi","doi":"10.1109/IST.2013.6729677","DOIUrl":"https://doi.org/10.1109/IST.2013.6729677","url":null,"abstract":"This paper presents an image compression system that compresses an image based on the color characteristics of the image. After performing color analysis on the image, best algorithm is selected from different compression algorithms (EZW, SPIHT, WDR and ASWDR). Results for compression for different wavelets based on number of colors in an image are discussed.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122184602","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}
{"title":"A federal UKF algorithm in INS/GPS/aerial image integrated attitude determination system","authors":"Lili Jing, Lijun Xu, Xiaolu Li, Xiangrui Tian","doi":"10.1109/IST.2013.6729663","DOIUrl":"https://doi.org/10.1109/IST.2013.6729663","url":null,"abstract":"According to the attitude determination method based on aerial images, an INS/GPS/aerial-image integrated attitude determination system solutions was proposed to improve the airborne platform attitude determination accuracy and reliability. A federal Unscented Kalman Filter (UKF) algorithm based on optimization information distribution factor was used in the INS/GPS/aerial-image integrated system. The integrated system included INS/GPS and INS/aerial-image two subsystems, the outputs from two subsystems were fused in the main filter. Finally, optimal parameters of the system state estimation were obtained. Experimental results show that the proposed method well solves the error divergence problem over time with INS, and prevents the truncation error generated by EKF algorithm. The integrated attitude determination system can get higher precision and reliability.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125109907","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}
{"title":"Comparison of electrical capacitance tomography sensors with internal-external electrodes","authors":"Ruihuan Ge, Jiamin Ye, Haigang Wang","doi":"10.1109/IST.2013.6729657","DOIUrl":"https://doi.org/10.1109/IST.2013.6729657","url":null,"abstract":"In this paper, an ECT sensor with 12 external electrodes and 4 internal electrodes (IEE) is designed to investigate the quality of reconstructed images in circular and annular areas. The sensitivity distribution and the capacitance between different electrode pairs are calculated using a finite element method (FEM), and then used to reconstruct images using Landweber iteration algorithm. For the circular area, three different measuring strategies are considered, and then compared with a traditional ECT sensor (EE). For the annular area, three different measuring strategies, the internal electrode with/without screen, the EE sensor are considered and compared. The results show that, the IEE sensor can improve the image quality in circular areas, and only in certain circumstances, the IEE sensor can improve the image quality in annular areas comparing with the EE sensor.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121436918","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}
{"title":"Dimensionality reduction with the k-associated optimal graph applied to image classification","authors":"T. Cupertino, M. Carneiro, Liang Zhao","doi":"10.1109/IST.2013.6729723","DOIUrl":"https://doi.org/10.1109/IST.2013.6729723","url":null,"abstract":"In this paper, we aim to study the usage of different network formation methods into a graph embedding framework to perform supervised dimensionality reduction. Images are often high-dimensional patterns, and dimensionality reduction can enhance processing and also increase classification accuracy. Specifically, our technique maps images into networks and constructs two network adjacency matrices to convey information about intra-class components and inter-class penalty connections. Both matrices are inserted into an optimization framework in order to achieve a projection vector that is used to project high-dimension data samples into a low-dimensional space. One advantage of the technique is that no parameter is required, that is, there is no need to select a model for the input data. Applications on handwritten digits recognition are performed, and the proposed technique is compared to some classical network formation methods. Numerical results show the approach is promising.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132326958","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}
Yuchun Sun, Hong Li, F. Yuan, Yijiao Zhao, P. Lu, Yong Wang
{"title":"Evaluation of the accuracy of three-dimensional reconstruction of edentulous model jaw relation based on dental articulator positioning","authors":"Yuchun Sun, Hong Li, F. Yuan, Yijiao Zhao, P. Lu, Yong Wang","doi":"10.1109/IST.2013.6729739","DOIUrl":"https://doi.org/10.1109/IST.2013.6729739","url":null,"abstract":"A dental articulator and three-dimensional (3D) scanner were utilized to reconstruct the spatial relationship between upper and lower edentulous jaw gypsum models made from five patients. The 7-axis Faro Edge contact measurement system was used to evaluate the vertical and horizontal distances between jaws. Paired t-test results of vertical distance (0.089±0.428 mm) and horizontal distance (-0.082±0.221 mm) between points on the jaws showed no significant differences (P>0.05). One-Way ANOVA of the same measurement data for the five models also showed no significant differences (P>0.05). With an error of less than 0.1 mm, these measurements met clinical requirements. In conclusion, 3D reconstruction of edentulous jaw gypsum models with accurate jaw relation was made possible by scanning the models in centric relation on a dental articulator.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126900647","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}
{"title":"A 3D acoustic temperature field reconstruction algorithm using adaptive regularization parameter","authors":"Hua Yan, S. Wang, Yinggang Zhou, L. Liu","doi":"10.1109/IST.2013.6729681","DOIUrl":"https://doi.org/10.1109/IST.2013.6729681","url":null,"abstract":"Acoustic temperature field reconstruction is an illposed problem. This means especially that their solution is unstable under data perturbations. Numerical methods that can cope with this problem are the so-called regularization methods. The choice of a regularization parameter has an important influence on reconstruction accuracy. In this paper, a 3D acoustic temperature field reconstruction algorithm is proposed. It uses a new criterion for choosing the regularization parameter, which makes a good compromise between de-noise and detail reconstruction of the temperature field. Reconstructions of a single-peak temperature field by using simulated travel-times corrupted with different level noises demonstrate that the new algorithm has high reconstruction accuracy and good anti-noise ability.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121540610","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}
{"title":"High-resolution imaging of aerial rigid targets from sparse angle radar data","authors":"Feiyang He, Xiaojian Xu","doi":"10.1109/IST.2013.6729695","DOIUrl":"https://doi.org/10.1109/IST.2013.6729695","url":null,"abstract":"In this paper, a coherent processing method for sparse angle radar data is proposed. First, suitable pairs of azimuth data between sparse angle sectors are chosen for coherent processing. Then we use de-noising cross-correlation algorithm and statistical method to obtain phase incoherent parameters (ICP) between sparse angle data. After compensating the phase ICP, a coherence function is defined to achieve amplitude ICP. Finally, data interpolation and extrapolation via two-dimensional gapped-data state space approach (2-D GSSA) are applied to sparse angle data and high-resolution imaging of the targets is achieved. The method is especially useful for sparse angle sectors with small gaps. Experimental results demonstrate the usefulness and effectiveness of the proposed method.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115118229","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}
{"title":"A simple index based quantitative assessment of flame stability","authors":"Duo Sun, G. Lu, Hao Zhou, Xinli Li, Yong Yan","doi":"10.1109/IST.2013.6729689","DOIUrl":"https://doi.org/10.1109/IST.2013.6729689","url":null,"abstract":"This paper proposes a simple universal index for on-line quantitative assessment of flame stability. The proposed index has a dynamic range of [0, 1] and is designed by combining the dynamic characteristics of seven parameters extracted from flame images in HSI color space. It assesses the flame stability in terms of color, geometry and luminance. Experiments were carried out on a 9MWth heavy-oil-fired combustion test facility. The impact of the swirl vanes on the stability of a heavy oil flame is investigated. The results obtained demonstrate the effectiveness of the proposed approach to quantitative flame stability assessment.","PeriodicalId":448698,"journal":{"name":"2013 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115650678","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}