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International Conference on Intelligent Computing, ICIC 2005

作者： Guo, Xiaoxin Xu, Zhiwen Lu, Yinan Liu, Zhanhui Pang, Yunjie College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Qianjin Street 2699 Changchun 130012 China

ISBN: (纸本)9783540282266

This paper proposes a novel registration algorithm based on Pseudo-Polar Fast Fourier Transform (FFT) and Analytical Fourier-Mellin Transform (AFMT) for the alignment of images differing in translation, rotation angle, and uniform scale factor. The proposed algorithm employs the AFMT of the Fourier magnitude to determine all the geometric transformation parameters with its property of the invariance to translation and rotation. Besides, the proposed algorithm adopt a fast high accuracy conversion from Cartesian to polar coordinates based on the pseudo-polar FFT and the conversion from the pseudo-polar to the polar grid, which involves only ID interpolations, and obtain a more significant improvement in accuracy than the conventional method using cross-correlation. Experiments show that the algorithm is accurate and robust regardless of white noise. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Image processing

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Novel measurement for mining effective association rules

Novel measurement for mining effective association rules

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Wei, Jin-Mao Yi, Wei-Guo Wang, Ming-Yang Institute of Computational Intelligence Northeast Normal University ChangChun Jilin 130024 China Open Symbol Computation and Knowledge Engineering Laboratory State Education Department Jilin University

ISBN: (纸本)078039092X

In this paper, we analyze the method of support-confidence framework when mining association rules. In order to avoid the limitation in the criterion, we propose a new method of match as the substitution of confidence. We analyze in detail the property of the proposed measurement. Experimental results show that there is higher correlation between the antecedent and the consequent of the rules produced by the improved method compared with the rules produced by the support-confidence framework. Furthermore, the improved method decreases the generation of redundancy rules. © 2005 IEEE.

关键词： Data mining

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An EAWA Filter for Denoising of Filtering of Fluorescein Angiogram Sequences

An EAWA Filter for Denoising of Filtering of Fluorescein Ang...

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International Conference on Computer and Information Technology (CIT)

作者： Xiaoxin Guo Zhiwen Xu Yinan Lu Yunjie Pang Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University Changchun China

ISBN: (纸本)076952432X

In this paper, a novel filter model called extended adaptive weighted averaging (EAWA) filter model is proposed, by which some particular filters can be designed via selecting an appropriate pixel of interest (POI) and defining a weight distribution function for the filter according to some specified requirements. Based on the novel model, a fluorescein-angiogram-oriented filter, high-intensity preserving (HIP) filter is introduced to solve the problems of high-intensity preservation when filtering noise. The results of the experiments show that the HIP filter has the features of frame-averaging, which can achieve noise suppression efficiently, and the features of high-intensity preservation, which can keep the intensities of bright pixels from degrading via distributing the weights adoptively according to the intensity of each pixel

关键词： Noise reduction Filtering Adaptive filters Hip Degradation Image analysis Fluorescence Distribution functions Image sequences Retina

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Noise suppression of fluorescein angiogram sequences using bilateral filter

Noise suppression of fluorescein angiogram sequences using b...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Xiao-Xin Guo Yi-Nan Lu Zhi-Wen Xu Zhan-Hui Liu Yun-Xiao Wang Yun-Jie Pang Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University Changchun China

In this paper, a relatively flexible filter called extended bilateral filter is proposed, by which some particular filters can be designed via selecting an appropriate pixel of interest (POI) and defining a kernel for the filter according to some specified requirements. Based on the filter, a fluorescein-angiogram-oriented filter, high-intensity preserving (HIP) filter is introduced to solve the problems of high-intensity preservation when denoising. The results of the experiments show that the HIP filter has the ability of noise suppression, and the ability of high-intensity preservation, which can keep the intensities of bright pixels from degrading via distributing the weights adaptively according to the location and the intensity of each pixel.

关键词： Filters Fluorescence Retina Noise reduction Angiography Hip Degradation Image sequences Diseases Blood flow

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An Application of Fourier-Mellin Transform in Image Registration

An Application of Fourier-Mellin Transform in Image Registra...

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International Conference on Computer and Information Technology (CIT)

ISBN: (纸本)076952432X

Fourier-Mellin transform (FMT) is frequently used in content-based image retrieval and digital image watermarking. This paper extends the application of FMT into image registration and proposes an improved registration algorithm based on FMT for the alignment of images differing in translation, rotation angle, and uniform scale factor. The proposed algorithm can eliminate the conversion from Cartesian to log-polar coordinates, avoid the process of interpolation required in the conversion, and obtain a more significant improvement than the conventional method using cross-correlation. Experiments show that the algorithm is accurate and robust regardless of white noise

关键词： Fourier transforms Image registration Image converters Image retrieval Content based retrieval Digital images Watermarking Interpolation Noise robustness White noise

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Qualitative spatial relationships cleaning for spatial data mining

Qualitative spatial relationships cleaning for spatial data ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hai-Bin Sun Wen-Hui Li Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education College of Computer Science and Technology Jilin University Changchun China

In this article, we investigate the problem of preparing qualitative spatial relations before implementing spatial data mining by checking consistency in a constraint network, which includes topological and cardinal directional relations between pairs of spatial objects. We aim to explore potential spatial relations and possible inconsistency among the data of relationships for enforcing the correctness of spatial data mining. This task is carried out through qualitative spatial reasoning method, specifically consistency checking. We try to lay the theoretical foundation for this kind of problem. Instead of using conventional composition tables, we investigate the interactions between topological and cardinal directional relations with the aid of rules. These rules are shown to be sound, i.e. the deductions are logically correct. Based on these rules, an improved constraint propagation algorithm is introduced to enforce the path consistency. An example is presented to show the utility of these rules.

关键词： Cleaning Data mining computational complexity Spatial databases Topology Sun Laboratories Computer networks knowledge engineering Computer science education

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Robust estimation of the fundamental matrix based on an error model

Robust estimation of the fundamental matrix based on an erro...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hui-Xiang Zhong Yue-Ping Feng Yun-Jie Pang College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun China

A new method is presented for robustly estimating fundamental matrix from matched points. The method comprises two parts. The first uses a robust technique - the random sample consensus (RANSAC) to discard outliers in an initial set of matched points. It adopts the sampling strategy to generate inliers from the initial set. The second part of the method is an algorithm for computing fundamental matrix, using the output of the RANSAC. This algorithm is based on the consistent fundamental matrix estimation in a quadratic measurement error model. An extended system for determining the estimator is proposed, and an efficient implementation for solving the system - a continuation method is developed. The proposed algorithm avoids solving total eigenvalue problems. Results for both synthetic and real images show the effectiveness of the proposed method.

关键词： Robustness Measurement errors Computer errors Eigenvalues and eigenfunctions Computer vision Layout Educational institutions Computer science Educational technology Laboratories

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AN IMPROVED BICLUSTERING ALGORITHM AND ITS APPLICATION TO GENE EXPRESSION SPECTRUM ANALYSIS

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Genomics, Proteomics & Bioinformatics 2005年第3期3卷 189-193页

作者： Hua Qu Liu-Pu Wang Yan-Chun Liang Chun-Guo Wu College of Software Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China Guangzhou Institute of China Telecom Guangzhou 510630 China College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China Key Laboratory of Information Science and Engineering of the Ministry of Railway/Key Laboratory of Advanced Information Science and Network Technology of Beijing Beijing Jiaotong University Beijing 100044 China.

Cheng and Church algorithm is an important approach in biclustering algorithms. In this paper, the process of the extended space in the second stage of Cheng and Church algorithm is improved and the selections of two important parameters are discussed. The results of the improved algorithm used in the gene expression spectrum analysis show that, compared with Cheng and Church algorithm, the quality of clustering results is enhanced obviously, the mining expression models are better, and the data possess a strong consistency with fluctuation on the condition while the computational time does not increase significantly.

关键词： biclustering algorithm gene expression pedigree analysis Cheng and Church algorithm

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Medicine composition concentration analysis based on least square support vector machine

Medicine composition concentration analysis based on least s...

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Guo, Xin-Chen Chen, Zhou-Yi Teng, Li-Rong Wu, Chun-Guo Du, Tian-Bao Lu, Jia-Hui Meng, Qing-Fan Liang, Yan-Chun Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China College of Science NortheastChinaInstituteofElectricPowerEngineering Jilin 132012 China Institute of General Development and Evaluation of Equipment EAAF PLA Beijing 100076 China College of Life Science Jilin University Changchun 130012 China

ISBN: (纸本)078039092X

This paper presents a method of medicine composition concentration analysis based on least square support vector machines (LS-SVMs) and examines the importance of the hyperparameter choice in improvement of algorithm performance. Simulation results show that the proposed method obtains high quality precision in the generalization, compared with multiple linear regression, and that it is an efficient approach to regression estimation. © 2005 IEEE.

关键词： Medicine

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Nondestructive quantitative analysis of compound paracetamol and diphenhydramine hydrochloride powder using RBF networks

Nondestructive quantitative analysis of compound paracetamol...

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Zheng, Hong Wan, Li.-Ming Jiang, Jing-Qing Liang, Yan-Chun Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China College of Computer Science and Engineering Changchun University of Technology Changchun 130012 China Institute of General Development and Evaluation of Equipment EAAF of PLA Beijing 100076 China College of Mathematics and Computer Science Inner Mongolia University for Nationalities Tongliao 028043 China

ISBN: (纸本)078039092X

A method for simultaneous analysis of the two components of compound paracetamol and diphenhydramine hydrochloride powdered drugs on near-infrared (NIR) spectroscopy is developed by using a Radial Basis Function (RBF) network. Nearest neighbor-clustering algorithm is used as the learning algorithm of RBF network. Comparisons of the results obtained from the RBF models with those from BP models show that it is feasible to use the RBF network in nondestructive quantitative analysis of the components of drugs. © 2005 IEEE.

关键词： Neural networks

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