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IEEE International Workshop on VLSI Design and Video technology, IWVDVT

作者： Cheng-Yi Xiong Jin-Wen Tian Jian Liu Institute of Pattem Recognition & Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan Hubei China College of Electronic Information Engineering South Central University of Nationalities Wuhan China

ISBN: (纸本)0780390059

An efficient generic architecture for two-dimensional discrete wavelet transform (2-D DWT) with line-based method is proposed with using lifting scheme, in which the parallelism of four subbands transform in lifting-based 2-D DWT is exploited. The proposed architecture is designed to generate 4 subbands coefficients concurrently per clock cycle that :an perform a 1-level decomposition of a N/spl times/N image in approximately N/sup 2//4 working clock cycles, which has faster throughput rate but requires less hardware cost compared 10 the designs reported in previous literature.

关键词： Discrete wavelet transforms Parallel architectures Two dimensional displays Clocks image coding Throughput Hardware Costs Low pass filters Matrix converters

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Development of face robot to express the individual face by optimizing the facial features

Development of face robot to express the individual face by ...

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IEEE-RAS International Conference on Humanoid Robots

作者： K. Itoh H. Miwa Y. Onishi K. Imanishi K. Hayashi A. Takanishi Department of Mechanical Engineering Waseda University Tokyo Japan Humanoid Robotics Institute Waseda University Tokyo Japan Digital Human Research Center National Institute for Advanced Industrial Science and Technology Tokyo Japan Graduate School of Science and Engineering Waseda University Tokyo Japan Audio Signal Processing Laboratory Multimedia Laboratories NTT DoCoMo Inc. Kanagawa Japan

Personal robots, which are expected to become popular in future, are required to be active in joint work and community life with humans. Therefore, we have been developing new mechanisms and functions for a humanoid robot with the ability to communicate with humans in a human-like manner. During human communication, humans distinguish individuals by facial features such as silhouette, position and the shape of each part, and gauge mental state based on facial expressions. Many researchers have developed robots that can express their emotions using facial expressions. However, a robot that can change individual facial aspects has not yet been researched. We consider it important for a personal robot to express not only its emotions but faces which appeal to a partner. Therefore, we developed a face robot WD-(Waseda-Docomo face robot No-1) that expresses various faces by changing the facial feature-points. In this study, a mask of the average face was made in order to express complicated shapes with small control points. The position, number and movable range of feature-points were optimized. In addition, we developed 3-DOFs drive unit and controlled each feature-point, not at a point but on a plane

关键词： Facial features Humans Face Humanoid robots Service robots Eyes Lips Robot sensing systems Eyebrows Biomedical engineering

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A computer-aided system for mass detection and classification in digitized mammograms

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Biomedical Engineering - Applications, Basis and Communications 2005年第5期17卷 215-228页

作者： Yang, Sheng-Chih Wang, Chuin-Mu Chung, Yi-Nung Hsu, Giu-Cheng Lee, San-Kan Chung, Pau-Choo Chang, Chein-I. Department of Electrical Engineering National Cheng Kung University Tainan Taiwan Department of Computer Science and Information Engineering National Chin Yi Institute of Technology Taichung Taiwan Department of Electrical Engineering Da-Yeh University Chunghua Taiwan Department of Radiology Tri-Service General Hospital National Defense Medical Center Taipei Taiwan Administrative Office Suao Veterans Hospital Yilan Taiwan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore MD United States

This paper presents a computer-assisted diagnostic system for mass detection and classification, which performs mass detection on regions of interest followed by the benign-malignant classification on detected masses. In order for mass detection to be effective, a sequence of preprocessing steps are designed to enhance the intensity of a region of interest, remove the noise effects and locate suspicious masses using five texture features generated from the spatial gray level difference matrix (SGLDM) and fractal dimension. Finally, a probabilistic neural network (PNN) coupled with entropic thresholding techniques is developed for mass extraction. Since the shapes of masses are crucial in classification between benignancy and malignancy, four shape features are further generated and joined with the five features previously used in mass detection to be implemented in another PNN for mass classification. To evaluate our designed system a data set collected in the Taichung Veteran General Hospital, Taiwan, R.O.C. was used for performance evaluation. The results are encouraging and have shown promise of our system.

关键词： Computer aided analysis

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一种实用的二维工业CT重建算法

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中国体视学与图像分析 2005年第3期10卷 189-192页

作者：李慧田捷张兆田 Department of Education Technology Capital Normal University Beijing 100037 China Medical Image Processing Group Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences P. O. Box 2728 Beijing 100080 China Department of Information Science National Natural Science Foundation of China Beijing 100085 China

Computed tomography plays an important role in industrial non-destructive testing, medical applications, astronomy and many other fields to look inside the scanned object and to analysis its inner structures. A non-destructive testing software have been developed to efficiently detect inner flaws of space industrial components. As the core of our software, reconstruction algorithms including preprocess of raw data, re-arrange algorithm and filtered back-projection algorithms have been described in detail in this article. With real raw data from CASC of China, experimental results verified the applied reconstruction algorithm in our software. Furthermore, forward algorithms simulating generation of fan-beam raw data are also presented in this article.

关键词：二维工业CT 图象重建计算方法计算机系统

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Journal of Information science and Engineering: Editorial notice

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Journal of Information science and Engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

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Vehicle tracking using image processing techniques

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4th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2004

作者： Rhee, Seung Hak Han, Seungjo Kim, Pan koo Ahmad, Muhammad Bilal Park, Jong An College of Electronics and Information Engineering Chosun University Gwangju Korea Republic of Signal and Image Processing Lab Dept. of Mechatronics Kwangju Institute of Science and Technology Gwangju Korea Republic of

ISBN: (纸本)3540221174

A real time vehicle tracking in image sequences is presented. The moving vehicles are segmented by the method of differential image followed by the process of morphological dilation. The vehicles are recognized and tracked using statistical moments. The straight lines in the moving vehicles are found with the help of Radon transform. The direction of the moving object is calculated from the orientation of the straight lines in the direction of the principal axes of the moving objects. The direction of the moving object and the displacement of the object in the image sequence are used to calculate the velocity of the moving objects. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Vehicles

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Blurred image recognition based on complex moment invariants

Blurred image recognition based on complex moment invariants

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2004 International Conference on image processing, ICIP 2004

作者： Tianxu, Zhang Jin, Liu Institute for Pattern Recognition and Artifical Intelligence State Key Laboratory of Image Processing and Intelligent Control HuaZhong University of Science and Technology China Institute for Pattern Recognition and Artifical Intelligence HuaZhong University of Science and Technology China

ISBN: (纸本)0780385543

An important class of radiometric degradations we are faced with often in practice is image blurring. Special attention is paid to the recognition of the blurred image by moment invariant approach. Some important rules of complex moments for the blurred image are presented. Based on these rules, a useful subset of moment invariants is introduced, that are not affected by the blur, rotation, scale, and translation of the images. The experiments have shown that these invariants can be successfully used in recognition of the blurred image. ©2004 IEEE.

关键词： Pattern recognition

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An automated seamless mosaicing system of multi-charge coupled devices of panchromatic data

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Journal of the Indian Society of Remote Sensing 2004年第1期32卷 103-111页

作者： Ramakrishnan, R. Manthira Moorthi, S. Padmanabhan, N. Gupta, P. Data Products Software Division Signal and Image Processing Group Space Applications Centre (ISRO) Ahmedabad-380 015 India Department of Computer Science and Engineering Indian Institute of Technology Kanpur Kanpur 208 016 India

Panchromatic data of pixel resolution 5.8 m obtained from IRS-IC and IRS-ID satellites proved to be very useful for mapping purposes. One of the popular data product is the 70 km swath mosaic which is covered by a combination of 3 CCD line sensors, each with 4096 pixels. Each CCD-line sensor with different imaging times causes geometric problems of mosaicing three strips data together. In this paper, we propose the details of the design elements of system that caters to the need for accurate and automatic multi strip image registration without any second resampling of the data. The systematic geometric correction grid mapping is improved to facilitate accurate mosaicing by automatic image registration task that makes use of the overlap data within image strips and image registration is achieved up to sub-pixel level.

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Determining hyperspectral data-intrinsic dimensionality via a modified Gram-Schmidt process

Determining hyperspectral data-intrinsic dimensionality via ...

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IEEE Convention of the Electrical and ELectronic Engineers in Israel

作者： O. Kuybeda A. Kagan Y. Lumer Department of Electrical Engineering Signal and Image Processing Laboratory Haifa Israel Signal and Image Processing Laboratory Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel

The overdetermined nature of hyperspectral data constitutes a serious obstacle in many applicative fields. A vital step in dimensionality reduction is determining the intrinsic number of dimensions the signal resides in. This work proposes a modified Gram-Schmidt (MGS) process which iteratively finds the most distant pixels within the data in terms of an orthogonal complement norm (OCN) to a subspace spanned by the extreme pixels found in previous iterations. We analyze the distribution of extreme OCN using extreme values theory (EVT) and derive a termination condition for the MGS process. The dimensionality is determined by the number of found extreme pixels, which provide an estimation for the signal subspace.

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Sparse factorization proprecessing-based offline analysis for a cursor control experiment

Sparse factorization proprecessing-based offline analysis fo...

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2004 IEEE International Workshop on Biomedical Circuits and Systems

作者： Li, Yuanqing Cichocki, Andrzej Guan, Cuntai Qin, Jianzhao Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Wako shi Saitama 3510198 Japan Institute for Infocomm Research Singapore 119613 Singapore Institute of Automation Science and Engineering Southchina University of Technology Guangzhou 510640 China

ISBN: (纸本)0780386655

As a communication interface translating brain activities into a control signal for devices like computers, brain-computer interfaces (BCI) have received more and more attentions in recent years due to many potential applications. It is well known that preprocessing (e.g., filtering, etc.) of EEG signals plays an important role in EEG based BCI. In this paper, a sparse factorization approach is presented as a new kind of preprocessing method for BCI. Next, we define power feature vectors related to μ and β frequency bands of these components, and use regularized Fisher discriminant method for classification. Our off line analysis based on the data of a cursor control experiment shows that sparse factorization preprocessing can improve considerably accuracy rate in comparison to PCA or ICA preprocessing. © 2004 IEEE.

关键词： Control systems

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