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Model and control for gravure register printing system

26th Chinese control Conference

作者： Hua, Deng Zhong Xi, Li Xiaomeng, Ye Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9787811240559

According to low speed and register error big of the traditional artificial register control system based on characteristics of overseas register control system, a great deal of experiment data is sampled and used to identify the register system model, which is analyzed and recognized as a dead time system And an adjustment algorithm is designed for automatic color register control system based on smith-fuzzy PID. The numerical experiment demonstrates the scheme adopted can raise the accuracy and printing speed of the system, simplify the operation, and raise the printing quality.

关键词： automatic register identification smith predictor Fuzzy-PID control

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The design for model and control of solid oxide fuel cell electrical characteristic

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26th Chinese control Conference

作者： ZhongHua, Deng Xi, Li Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9787811240559

According to Matlab/Simulink, the paper sets up appropriate and effective mathematical model of Solid Oxide Fuel Cell (SOFC) based on its structure and mechanism, using theories of electrochemistry, hydrokinetic and thermodynamics. The output performance of SOFC is adjusted with good effect by PID controller tuned with decay-curve law. The results of numerical test demonstrate the effectiveness and advantage of this approach.

关键词： solid oxide fuel cell (SOFC) output performance simulink model PID controller

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AN IKONOS image FUSION PROCESS USING SUPPORT VALUE TRANSFORM

AN IKONOS IMAGE FUSION PROCESS USING SUPPORT VALUE TRANSFORM

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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： SHENG ZHENG WENZHONG SHI JIAN LIU Institute of Intelligent Vision and Image Information Best College of Electrical Engineering and In Advanced Research Center for Spatial Information Technology Department of Land Surveying and Geo-In State Education Commission Key Lab for Image Processing and Intelligent Control HUST Wuhan 430074

Panchromatic (Pan)-sharpening of multispectral (MS) bands is an important technique in various applications of satellite remote *** this paper, we apply the support value transform (SVT) to Ikonos image *** fused saliency features are represented by support values and extracted by *** low-resolution MS bands are resampled to the fine scale of the Pan image and sharpened by injecting the detailed features extracted from the high-resolution Pan *** fusing results on Ikonos MS + Pan data demonstrate that the proposed image fusion method is effective and efficient.

关键词： Mapped least squares support vector machine (mapped LS-SVM) support value transform (SVT) Ikonos image fusion

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An Ikonos image fusion process using support value transform

An Ikonos image fusion process using support value transform

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6th International Conference on Machine Learning and Cybernetics

作者： Zheng, Sheng Shi, Wenzhong Liu, Jian China Three Gorges Univ Inst Intelligent Vis & Image Informat Best Coll Elect Engn & Informat Technol Yichang 443002 Peoples R China Huazhong Univ Sci & Technol Elect & Informat Engn Dept Wuhan 430074 Peoples R China Hong Kong Polytech Univ Adv Res Ctr Spatial Informat Technol Dept Land Surveying & Geo Informat Hong Kong Peoples R China Huazhong Univ Sci & Technol State Educ Commiss Key Lab Image Processing & Intelligent Control Wuhan 430074 Peoples R China

ISBN: (纸本)9781424409723

Panchromatic (Pan)-sharpening of multispectral (MS) bands is an important technique in various applications of satellite remote sensing. In this paper, We apply the support value transform (SVT) to Ikonos image fusion. The fused saliency features are represented by support values and extracted by SVT. The low-resolution MS bands are resampled to the fine scale of the Pan image and sharpened by injecting the detailed features extracted from the high-resolution Pan image. The fusing results on Ikonos MS + Pan data demonstrate that the proposed image fusion method is effective and efficient.

关键词： mapped least squares support vector machine (mapped LS-SVM) support value transform (SVT) Ikonos image fusion

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Evidential reasoning based preference programming for multiple attribute decision analysis under uncertainty

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EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2007年第3期182卷 1294-1312页

作者： Guo, Min Yang, Jian-Bo Chin, Kwai-Sang Wang, Hongwei Univ Manchester Manchester Business Sch Manchester M60 1QD Lancs England City Univ Hong Kong Dept Mfg Engn & Engn Management Hong Kong Hong Kong Peoples R China Huazhong Univ Sci & Technol Inst Syst Engn Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China

Multiple attribute decision analysis (MADA) problems having both quantitative and qualitative attributes under uncertainty can be modelled and analysed using the evidential reasoning (ER) approach. Several types of uncertainty such as ignorance and fuzziness can be consistently modelled in the ER framework. In this paper, both interval weight assignments and interval belief degrees are considered, which could be incurred in many decision situations such as group decision making. Based on the existing ER algorithm, several pairs of preference programming models are constructed to support global sensitivity analysis based on the interval values and to generate the upper and lower bounds of the combined belief degrees for distributed assessment and also the expected values for ranking of alternatives. A post-optimisation procedure is developed to identify non-dominated solutions, examine the robustness of the partial ranking orders generated, and provide guidance for the elicitation of additional information for generating more desirable assessment results. A car evaluation problem is examined to show the implementation process of the proposed approach. (c) 2006 Elsevier B.V. All rights reserved.

关键词： multiple attribute decision analysis the evidential reasoning approach uncertainty modelling interval evaluation non-linear optimization

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Efficient architectures for two-dimensional discrete wavelet transform using lifting scheme

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IEEE TRANSACTIONS ON image processing 2007年第3期16卷 607-614页

作者： Xiong, Chengyi Tian, Jinwen Liu, Jian S Cent Univ Nationalities Coll Elect Informat Engn Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Minist Image Proc & Intelligent Control Key Lab Educ Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

Novel architectures for 1-D and 2-D discrete wavelet transform (DWT) by using lifting schemes are presented in this paper. An embedded decimation technique is exploited to optimize the architecture for I-D DWT, which is designed to receive an input and generate an output with the low- and high-frequency components of original data being available alternately. Based on this 1-D DWT architecture, an efficient line-based architecture for 2-D DWT is further proposed by employing parallel and pipeline techniques, which is mainly composed of two horizontal filter modules and one vertical filter module, working in parallel and pipeline fashion with 100% hardware utilization. This 2-D architecture is called fast architecture (FA) that can perform J levels of decomposition for N*N image in approximately 2N(2)(1-4(-J))/3 internal clock cycles. Moreover, another efficient generic line-based 2-D architecture is proposed by exploiting the parallelism among four subband transforms in lifting-based 2-D DWT, which can perform J levels of decomposition for N*N image in approximately N-2(1-4(-J))/3 internal clock cycles;hence, it is called high-speed architecture. The throughput rate of the latter is increased by two times when comparing with the former 2-D architecture, but only less additional hardware cost is added. Compared with the works reported in previous literature, the proposed architectures for 2-D DWT are efficient alternatives in tradeoff among hardware cost, throughput rate, output latency and control complexity, etc.

关键词： discrete wavelet transform (DWT) embedded decimation lifting scheme line-based architecture parallel

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Spectral clustering based null space linear discriminant analysis (SNLDA)

Spectral clustering based null space linear discriminant ana...

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11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007

作者： Wenxin, Yang Junping, Zhang Department of Electronic Engineering Fudan University Shanghai 200433 China Shanghai Key Lab. of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University China

ISBN: (纸本)9783540717003

While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with same covariance each class. Meanwhile, mixture model discriminant analysis, which is a good way for processing issues on multiple subclasses in each class, depends on human experience on the number of subclasses and has a highly complex iterative process. Considering the cons and pros of the two mentioned approaches, we therefore propose a new algorithm, called Spectral clustering based Null space Linear Discriminant Analysis (SNLDA). The main contributions of the algorithm include the following three aspects: 1) Employing a new spectral clustering method which can automatically detect the number of clusters in each class. 2) Finding a unified null space for processing multi-subclasses issues with eigen-solution technique. 3) Refining the calculation of the covariance matrix in a single sample subclass. The experimental results show the promising of the proposed SNLDA algorithm. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Clustering algorithms

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Self calibration of camera with non-linear imaging model

Self calibration of camera with non-linear imaging model

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Conference on Pattern Recognition and Computer Vision

作者： Hou, Wenguang Shang, Tao Ding, Mingyue Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Image Proc & Intelligent Control Key Lab Educ Minist China 1037 Luoyu Rd Wuhan 430074 Peoples R China Wuhan Univ Sch Urban Design Wuhan 430072 Peoples R China

ISBN: (纸本)9780819469526

Being put forward by the researchers in computer vision, self calibration commonly deals with camera with linear model. Since the distortion is practically existed especially for ordinary camera, the result of calibration can't meet the demand of vision measurement with high accuracy regardless of the distortion. Being obedience to systematism mainly, the distortion is the target function of distortion coefficient, principal point, principal distance ratio and skew factor etc. So there exists a group of parameters including of distortion coefficient, principal point, principal distance ratio and skew factor and fundamental matrix which make homologous point meets epipolar restriction theoretically. Accordingly, the paper advances the way titled self calibration of camera with non-linear imaging model which is on basis of the Kruppa equation. In calculating the fundamental matrix, we can obtain interior elements except principal distance by taking into account distortion correction about image coordinate. Then the principal distance can be obtained by using Kruppa equation. This way only need some homologous points between two images, not need any known information about objects. Lots of experiments have proven its correctness and reliability.

关键词： self calibration Kruppa equation non-linear imaging model fundamental matrix camera calibration

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New real-time needle segmentation technique using gray-scale Hough transformation

New real-time needle segmentation technique using gray-scale...

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Conference on Medical Imaging, Parallel processing of images, and Optimization Techniques

作者： Qiu, Wu Zhou, Hua Ding, Mingyue Zhang, Songgeng Huazhong Univ Sci & Technol State Key Lab Image Proc & Intelligent Control Inst Pattern Recognit & Artificial Intelligence 1037 Luoyu Rd Wuhan 430074 Peoples R China Beijing Tsinghua R&D Ind Inst Beijing 100085 Peoples R China

ISBN: (纸本)9780819469533

Real-time needle segmentation and tracking is very important in image-guided surgery, biopsy, and therapy. In this paper, we described an automated technique to provide real-time needle segmentation from a sequence of 2-D ultrasound images for the use of guidance of a needle to the target in soft tissues. The Hough transform is used to find straight lines or analytic curves in binary image. Hough transform is applied usually to binary images. Hence one needs to convert, initially, the gray level image to a binary one (through thresholding, edge detection, or thinning) in order to apply the HT. While in the process of binarization, some information about line segments in the image may be lost when an inappropriate threshold is used. Gray-Scale Hough Transform can detect the line without binarization. Unfortunately, its high computational cost often prevents it from being applied in real-time applications without the help of specially designed hardware. In this paper, we proposed a needle segmentation technique based on a real-time gray-scale Hough transform. It is composed of an improved Gray Hough Transformation and a coarse-fine search strategy. Furthermore, the RTGHT (Real-Time Gray-Scale Hough Transform) technique is evaluated by patient breast biopsy images. Experiments with patient breast biopsy ultrasound (US) image sequences showed that our approach can segment the biopsy needle in real time (i.e., less than 60 ms) with the angular rms error of about 1 degrees and the position rms error of about 0.5 nun. an affordable PC computer without the help of specially designed hardware.

关键词： real-time processing gray-level Hough transform needle segmentation biopsy tracking coarse-fine search

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Camera Calibration for 3D Color Scanning System Using Virtual 3D Model

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Computer Aided Drafting,Design and Manufacturing 2007年第2期17卷 77-81页

作者： SUN Xian-bin LI De-hua YIN Jie YAO Xun State Key Laboratory for Image Processing and Intelligent Control Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Hubei University of Technology Wuhan 430068 China

Instead of traditionally using a 3D physical model with many control points on it, a calibration plate with printed chess grid and movable along its normal direction is implemented to provide large area 3D control points with variable Z values. Experiments show that the approach presented is effective for reconstructing 3D color objects in computer vision system.

关键词： computer vision 3D scan camera calibration calibration plate

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