Jingbo Zhao, B. Thornberg, Yan-Ming Shi, A. Hashemi
{"title":"Color segmentation on FPGA using minimum distance classifier for automatic road sign detection","authors":"Jingbo Zhao, B. Thornberg, Yan-Ming Shi, A. Hashemi","doi":"10.1109/IST.2012.6295528","DOIUrl":"https://doi.org/10.1109/IST.2012.6295528","url":null,"abstract":"Classification is an important step in machine vision systems; it reveals the true identity of an object using features extracted in pre-processing steps. Practical usage requires the operation to be fast, energy efficient and easy to implement. In this paper, we present a design of minimum distance classifier based on FPGA platform. It is optimized by the pipelined structure to strike a balance between the device utilization and computational speed. In addition, the dimension of the feature space is modeled as generic parameter, making it possible for the design to re-generate hardware to cope with feature space with arbitrary dimensions. Its primary application is demonstrated on color segmentation on FPGA in the form of efficient classification using color as features. This result is further extended by introducing a multi-class component labeling module to label the segmented color components and measure the geometric properties of them. The combination of these two modules can effectively detect road signs as region of interests.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"98 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":"122485427","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":"An efficient fractional motion estimation architecture for avs real-time full Hd video encoder","authors":"Fei Wang, Yuan Li, Huizhu Jia, Xiaodong Xie, Wen Gao","doi":"10.1109/IST.2012.6295494","DOIUrl":"https://doi.org/10.1109/IST.2012.6295494","url":null,"abstract":"Fractional motion estimation (FME) as a complement to integer motion estimation (IME) conducts higher compression rate in video coding. Based on multiple reference frames and all modes of variable-block-size (VBS) motion search, the common FME algorithm and architecture generally causes high computational complexity. It consumes plenty of time and hardware resources to process the real-time (30fps) high definition (HD) video compression. In this paper, we propose an efficient FME algorithm and architecture that significantly reduce the number of the candidate sub-pixels by predicting quarter motion vector and cost less hardware by saltatory interpolation. Compared with the conventional FME architecture, the proposed method reduces resources significantly and accelerates the processing speed. 75% circuit area and 68% computational complexity are saved with only 0.1dB drop in performance and similar bit rate saving on average. Experiments of various sequences show that HD video (1920×1080) can be processed in real-time at frequency of 100MHz and it is verified in an AVS HD encoder on a Xilinx Virtex-6 FPGA prototype system.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"77 6 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":"133568718","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":"Grammar-based image segmentation with taking care about runtime and accuracy constraints","authors":"S. Hamdi, A. Abdallah, M. H. Bedoui","doi":"10.1109/IST.2012.6403796","DOIUrl":"https://doi.org/10.1109/IST.2012.6403796","url":null,"abstract":"Theory of Language and Compilation (TLC) is a generative mechanism that can recognize all the words for a given language. Thus, the aim of this paper is to exploit this theory on image processing domain and particularly on image segmentation field. We achieve to define an image as a set of letters based on image vocabulary and use grammar formalism for describing an object. This lasted one is assimilated as word recognized by an automaton. We will show how the idea of the TLC is applied for real and synthetic image with possibility of taking care about runtime and accuracy constraints. This type of task helps enough at some point in real time image and video processing application.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"2 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":"128116159","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":"Prediction of NOx emissions throughflame radical imaging and neural network based soft computing","authors":"Xinli Li, Duo Sun, G. Lu, J. Krabicka, Yong Yan","doi":"10.1109/IST.2012.6295594","DOIUrl":"https://doi.org/10.1109/IST.2012.6295594","url":null,"abstract":"The characteristics of reacting radicals in a flame are crucial for an in-depth understanding of the formation process of combustion emissions. This paper presents an algorithm for the prediction of NOx (NO and NO2) emissions in flue gas through flame radical imaging, flame temperature monitoring and application of Neural Network techniques. Radiation images of flame radicals OH*, CN*, CH* and C2* are captured using an intensified multi-wavelength imaging system. Flame temperature is determined using a spectrometer and two-color pyrometry. Based on these images, the characteristic values of the flame radicals are extracted. These characteristic values, together with the flame temperature, are then used to predict NOx emissions. Experimental results from a laboratory-scale gas-fired combustion rig have shown the effectiveness of the proposed method for the prediction of NOx emissions.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"50 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":"132541843","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":"Electric field simulation in electrical capacitance tomography","authors":"J. Kryszyn, W. Smolik, R. Szabatin, J. Mirkowski","doi":"10.1109/IST.2012.6295592","DOIUrl":"https://doi.org/10.1109/IST.2012.6295592","url":null,"abstract":"The applications of electric capacitance tomography require a custom-designed sensor with individually calculated sensitivity matrix. The sensor can be modeled using an electric field simulator. A highly advanced simulator QuickWave-3D was applied to generate a sensitivity matrix for a designed sensor. The calculation results are presented and compared with the results obtained using custom FEM software packages elaborated previously by our group. The custom solvers enable fast computation but simulate electric field in 2D and use regular square mesh which can cause insufficient discretization in some regions. In this paper the comparison of results obtained by two types of FEM solvers is presented. The comparison enables also a validation of 2D modeling and application of regular discretization mesh in our custom solvers.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"40 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":"132721543","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":"Three-dimensional reconstruction of flame temperature and emissivity through tomographic imaging and pyrometric measurement","authors":"M. Hossain, G. Lu, Yong Yan","doi":"10.1109/IST.2012.6295577","DOIUrl":"https://doi.org/10.1109/IST.2012.6295577","url":null,"abstract":"This paper presents the reconstruction of 3-D (three-dimensional) flame temperature and emissivity distributions using tomographic imaging and pyrometric techniques. An imaging system comprising eight optical imaging fiber bundles and two RGB CCD (Charged-couple Device) cameras is used to acquire flame images simultaneously from eight different directions. A combined LFBP (Logical Filtered Back-Projection) and SART (Simultaneous Iterative Reconstruction and Algebraic Reconstruction Technique) algorithm is applied to the 3-D reconstruction of gray-level intensity for the two primary color (red and green) images. The temperature distribution of the flame is determined from the ratios of the reconstructed gray-levels intensity and then the emissivity is estimated from the ratio of the gray-level of a primary color of the images to that of a blackbody source at the same temperature. The system calibration was conducted on a blackbody furnace. Experimental results on a gas fired combustion test rig demonstrate that the proposed technical approach performs well in the measurement of the 3-D temperature and emissivity distributions of the flame.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"2014 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":"134015151","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}
Yan-lei Li, Xing-dong Liang, C. Ding, Liangjiang Zhou, Longyong Chen, Wen Hong
{"title":"A motion compensation approach integrated in the omega-K algorithm for airborne SAR","authors":"Yan-lei Li, Xing-dong Liang, C. Ding, Liangjiang Zhou, Longyong Chen, Wen Hong","doi":"10.1109/IST.2012.6295560","DOIUrl":"https://doi.org/10.1109/IST.2012.6295560","url":null,"abstract":"The omega-K algorithm has been considered unable to be combined with high-precision motion compensation (MoCo). An extended omega-K (EOK) algorithm was proposed in which the two-step MoCo could be integrated. However, the second-order MoCo is inaccurate due to the wavelength-dependent scaling of the azimuth signal after the modified Stolt mapping. Although a third-step MoCo was introduced to make up for this drawback, it is limited in dealing with high-frequency motion errors because it is applied block-wise in the time domain. A MoCo approach is proposed in this paper integrated in the traditional omega-K algorithm, which implements the aperture-dependent second-order MoCo after the range compression and before the Stolt mapping. Theoretical analysis and simulation verifies its validity.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"35 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":"115324506","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 Novel Spiral Electromagnetic Induction Sensor for the Measurement of Phase Holdup","authors":"Xu Kai, Guang Chen, Jianna Hao, W. Yin","doi":"10.1109/IST.2012.6295502","DOIUrl":"https://doi.org/10.1109/IST.2012.6295502","url":null,"abstract":"In two-phase (gas/liquid or liquid/liquid) flow measurements, phase holdup is an important parameter. Electromagnetic induction techniques have been applied for determining this parameter. However, due to inhomogeneous sensitivity of the conventional inductive sensors, the accuracy in measuring phase holdup is seriously affected by flow regimes. To overcome this problem, multiple sensor configurations such as MIT have been considered; however, the sensitivity maps of MIT are not homogenous and in addition, the complexity of a multiple channels measurement system increases significantly. In this paper, a novel spiral electromagnetic induction sensor was proposed. The sensitivity matrices of four different configurations of the sensor were calculated using MATLAB. Both simulations and experiments were carried out, which proved that the spiral style sensors have increased and more homogenous sensitivity distributions, making it more suitable for phase holdup measurement.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"23 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":"123614008","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}
Xiangrui Tian, Lijun Xu, Xiaolu Li, Lili Jing, Yan Zhao
{"title":"A kernel-density-estimation-based outlier detection for airborne LiDAR point clouds","authors":"Xiangrui Tian, Lijun Xu, Xiaolu Li, Lili Jing, Yan Zhao","doi":"10.1109/IST.2012.6295546","DOIUrl":"https://doi.org/10.1109/IST.2012.6295546","url":null,"abstract":"An outlier detection method is proposed based on the kernel density estimation for removing the outliers in airborne LiDAR point clouds. The point cloud is divided into many blocks. Then, in each block, the kernel probability density of the height values of all points is estimated. Two elevation thresholds, one for low outliers and one for high outliers, are selected based on the values of the probability density and the values of elevation. The computation is simplified in complexity for the method doses not focus on the calculation of individual points. Two datasets were utilized to test our method. This method combines distance-based method with density-based method. Experiments showed that our proposed method had good performance.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"6 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":"122046275","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":"An electrical capacitance tomography system with MatLab-Simulink GUI","authors":"Z. Ren, Wuqiang Yang","doi":"10.1109/IST.2012.6295563","DOIUrl":"https://doi.org/10.1109/IST.2012.6295563","url":null,"abstract":"This paper describes an electrical capacitance tomography (ECT) system based on an impedance analyser (HP4192A), which has high resolution, high accuracy and good reliability. A multi-channel multiplexer unit with low coupling capacitance is used for automated data acquisition. The hardware system, including the impedance analyser and the multiplexer unit is controlled by a MatLab Simulink Graphical User Interface (GUI). Image reconstruction algorithms and data analysis are implemented. Preliminary experimental results have been obtained from the system and are given in this paper.","PeriodicalId":213330,"journal":{"name":"2012 IEEE International Conference on Imaging Systems and Techniques Proceedings","volume":"111 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":"124109777","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}