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Computation of the folkman number Fv(3,5;6)

Journal of Combinatorial Mathematics and Combinatorial Computing 2012年 81卷 11-17页

作者： Shao, Zehui Liang, Meilian Pan, Linqiang Xu, Xiaodong School of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing China School of Mathematics and Information Science Guangxi University Nanning 530004 China Key Laboratory of Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Guangxi Academy of Sciences Nanning Guangxi 530007 China

We prove that Fv(3,5;6) = 16, which solves the smallest open case of vertex Folkman numbers of the form Fv(3,k;k + 1). The proof uses computer algorithms.

关键词： Mathematical techniques

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Automatic segmentation of brain tumors in magnetic resonance images

Automatic segmentation of brain tumors in magnetic resonance...

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IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering

作者： Behzadfar, Neda Soltanian-Zadeh, Hamid Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Pooyandegan Rah Saadat Company Tehran 16756-965 Iran Image Analysis Laboratory Radiology Department HenryFord Healh System Detroit MI 48202 United States

ISBN: (纸本)9781457721779

Segmentation of tumors in magnetic resonance images (MRI) is an important task but is quite time consuming when performed manually by experts. Automating this process is challenging due to the high diversity in appearance of tumor tissue in different patients, and in many cases, similarity between tumor and normal tissues. This paper presents an automatic method for segmentation of brain tumors in MRI. We use images of patients with glioblastoma multiform tumors. After pre-processing and removal of the regions that do not have useful information (e.g., eyes and scalp), we create a projection image for determining the primary location of the tumor. This image provides an overall view of the tumor. Then, we grow the primary region to segment the entire tumor. This method is automatic and independent of the operator. It segments low contrast tumors without requiring their exacta tissue boundaries. The segmentation results obtained by the proposed approach are compared with those of an expert radiologist showing excellent correlations among them (R2=0.97). © 2012 IEEE.

关键词： Tumors

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A New Recognition Method for Billet Number Recognition System

A New Recognition Method for Billet Number Recognition Syste...

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International Conference on Digital Manufacturing and Automation (ICDMA)

作者： Hao Zhu Yiwen Wang Hanyu Hong Xiuhua Zhang School of mathematics and physics University of Science and Technology Beijing China Laboratory for Image Processing and Intelligent Control Wuhan Institute of Technology Wuhan China

This paper presents a method for extracting and recognizing the billet numbers according to the feature of each number. Its advantages lie in that no template image is required, the requirement to the number in the image is low, and the anti-interference performance is strong. This method is able to recognize the numbers on the billet with a high efficiency.

关键词： image recognition Character recognition image segmentation Billets Licenses Educational institutions

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Person re-identification across multi-camera system based on local descriptors

Person re-identification across multi-camera system based on...

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ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC

作者： Qiao Huang Jie Yang Yu Qiao Institute of Image Processing and Pattern Recognition and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai China

Tracking the same person across multiple cameras is an important task in multi-camera systems. It is also desirable to re-identify the individuals who have been previously seen with a single-camera. This paper addresses this problem by the re-identification of the same individual in two different datasets, which are both challenging situations from video surveillance system. In this paper, local descriptors are introduced for image description, and support vector machines are employed for high classification performance and so an efficient Bag of Features approach for image presentation. In this way, robustness against low resolution, occlusion and pose, viewpoint and illumination changes is achieved in a very fast way. We get promising results from the evaluation with situations where a number of individuals vary continuously from a multi-camera system.

关键词： Vocabulary Cameras Histograms Feature extraction image color analysis Support vector machine classification Kernel

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Self-Adaptability Research of Billet Character Segmentation in the Complex Scene

Self-Adaptability Research of Billet Character Segmentation ...

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International Conference on Digital Manufacturing & Automation

作者： Yang Yijun Hong Hanyu Wang Yiwen Zhang Xiuhua Laboratory of Image Processing and Intelligent Control Wuhan Institute of Technology Wuhan China School of Mathematics and Physics University of Science and Technology Beijing Beijing China

In the process of billet detection and recognition, the self-adaptability research of billet character segmentation in the complex scene is a highly complicated intelligence problem. On account of a good many of factors, such as the uneven ends of billet, the rusty billets, the non-standard printed characters and so on, the irregular characters at ends of steel billet may be connected and broken. Improper segmentation of connected and broken characters will lead the characters distorted directly and then impact on the recognition results. In view of these complex factors, a segmentation algorithm based on self-adaptability decision is proposed to improve the segmentation self-adaptability in this paper. The segmentation experimental results show that the proposed algorithm divides the billet characters in the complex scene accurately and improves the self-adaptability of character segmentation.

关键词： Billet character Segmentation Self-adaptability decision Connected character Broken character

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An Iterative Procedure for Multidimensional Realization By LFT Techniques

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IFAC Proceedings Volumes 2012年第13期45卷 723-727页

作者： Huijin Fan Li Xu Kose Uemura Shinya Matsushita Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Dept. Control Science & Engineering Huazhong University of Science and Technology P. R. China Dept. of Electronic and Information Systems Akita Prefectural University Akita Japan

In this paper, by utilizing Linear Fractional Transformation (LFT) techniques, an iterative realization procedure resulting in multidimensional ( n -D) Roesser state-space model is proposed. The philosophy employed here is to achieve an overall n -D realization by realizing relatively lower-dimensional systems with respect to (w.r.t.) less-number of variables iteratively. Symbolic examples are presented to illustrate the basic idea as well as the effectiveness of the proposed procedure.

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Analytical algorithm of program quaternion in the arbitrary spacecraft attitude-adjusting control

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Journal of Information and Computational Science 2012年第3期9卷 751-759页

作者： Ni, Shaobo Wu, Jianwu Liu, Lei Wang, Yongji Shan, Jiayuan Su, Mao School of Aerospace Engineering Beijing Institute of Technology Beijing 100081 China Beijing Aerospace Automatic Control Institute Beijing 100854 China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

The analytical algorithm of program quaternion is studied, aiming at the problem of the arbitrary space vehicle attitude-adjusting control. The analytical constructor method of the program quaternion is provided for arbitrary given initial quaternion, initial angle velocity, terminal quaternion and terminal angle velocity. The presented method has advantages as: good adaptability, the initial and terminal conditions are both arbitrary;reduced operation, the calculation process involves the fundamental algebraic operation;direct optimization, the time consumption in the process of space vehicle attitude adjustment and the maximum angular velocity can be optimized directly by using the program quaternion model. Finally, according to the simulation results, the program quaternion tracking can be realized by a PD control law. © 2012 Binary Information Press.

关键词： Attitude control

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Pan-sharpening using weighted red-black wavelet

Pan-sharpening using weighted red-black wavelet

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International Conference on Pattern Recognition

作者： Qingjie Liu Yunhong Wang Zhaoxiang Zhang Lining Liu Intelligent Recognition and Image Processing Lab Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781467322164

In this paper, we propose a new method for remote sensing image pan-sharpening which is based on weighted red-black (WRB) wavelet and adaptive principal component analysis (PCA), where the adaptive PCA is used to reduce spectral distortions and the utilization of WRB wavelet is used to extract the spatial details in PAN images. To reduce the artifacts and spectral distortions in the pan-sharpened images, which were caused by the local instabilities and dissimilarities in the PAN and MS images, a local process strategy incorporating detail enhancement is introduced. The proposed method is tested on two datasets both acquired by QuickBird and compared with the existing methods. Experimental results show that our method can provide promising fused MS images at a high spatial resolution.

关键词： Principal component analysis Correlation Remote sensing Multiresolution analysis Spatial resolution Discrete wavelet transforms

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Enhancing biometric security with wavelet quantization watermarking based two-stage multimodal authentication

Enhancing biometric security with wavelet quantization water...

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International Conference on Pattern Recognition

作者： Bin Ma Chunlei Li Yunhong Wang Zhaoxiang Zhang Di Huang Intelligent Recognition and Image Processing Lab Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781467322164

In this paper we propose a watermarking based two-stage authentication framework to enhance biometric system security. The face feature of one individual is embedded into his/her fingerprint image as credibility token. During authentication, the watermark is first extracted to establish data authenticity. If legitimate, the face pattern can further serve as supplemental trait in biometric authentication progress. A wavelet quantization based watermarking method is proposed to robustly embed information in fingerprints while preserving their discriminating features. Meanwhile, a sparse representation based classifier is adopted to efficiently exploit the identity information within face watermarks. Experimental results which evaluate both watermarking and biometric authentication performance demonstrate the effectiveness of this work.

关键词： Watermarking Face Authentication Robustness Quantization Pattern recognition

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A Novel Local Spline Smoothing-Based Approach for Medical Ultrasound images Enhancement

A Novel Local Spline Smoothing-Based Approach for Medical Ul...

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IEEE-EMBS Conference on Biomedical Engineering and Sciences

作者： Fardin Afdideh Roya Khasheei Rad Seyed Navid Resalat Elyas Sabeti IEEE Member Biomedical Engineering Department Islamic Azad University Control and Intelligent Processing Center of Excellence University of Tehran Biomedical Signal and Image Processing Laboratory (BiSIPL) Sharif University of Technology

ISBN: (纸本)9781467316644

In this work, a novel local spline smoothing-based approach is proposed in order to despeckling medical ultrasound images. For better comparison, firstly nine conventional statistical spatial filters were applied on the ultrasound images and the results evaluated by quantitative indices of contrast to noise ratio (CNR) and speckle signal to noise ratio (SSNR). Secondly, one-dimensional cubic spline smoothing (1DCSS) function was applied on the whole speckled image as the first proposed approach. Finally, as the second proposed approach, 1DCSS was applied locally on the sliding windows of the ultrasound image then conventional statistical spatial filters were applied. The results indicate that the proposed approaches outperform the existing conventional ones.

关键词： Cubic spline smoothing Despeckling Medical ultrasound image Spatial filters

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