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Fundamental theory of natural observation method with complete reconstruction property by finite sum - Natural observation theory of normal type

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 1996年第11期79卷 84-96页

作者： Iijima, T Iwaki, M Japan Advanced Institute of Science and Technology Ishikawa Japan 923-12 Taim Iijima received his B.E. degree in Electrical Engineering from Tokyo Institute of Technology in 1948 and joined the Electrotechnical Laboratory. He received his Ph.D. degree in 1957. He was involved in research on electromagnetic theory pattern recognition theory image processing speech recoption and OCR research development. He became Chief of Densoken Iijima Special Research Group and then Professor at Tokyo Institute of Technology in 1972. He was Professor Emeritus in 1986 Professor at Tokyo Engineering University in 1986 Professor Emeritus in 1993 Professor at the Japan Advanced Institute of Science and Technology in 1993 Vice President of the Institute in 1994 Editinghvestigation/General Affairs Secretary Inspector Councilor Chairman of Pattern Recognition Research Committee Head of Tokyo Region Vice President at I.E.I.C.E. Japan and became Honorary Member in 1993. He received the Paper Award four times Authorship Award once Achievement Award in 1976 Meritorious Award in 1989 and the Purple-Ribbon Prize in 1989.

A theory of natural observation methods was originally formulated for two complementary systems: neighboring type and equilibrium type. This paper introduces a new system, normal-type system, that is different from the forementioned two types. One characteristic feature of the normal-type natural observation method is its ability to reconstruct an original waveform from the sum of a finite number of observation values. The natural observation theory of a normal type evolves naturally under the condition that a waveform and its power component can be expressed in the sum form. These meanings are discussed by comparing a frequency response of the normal-type natural observation transform with that of a conventional filter bank. Furthermore, a criterion for determining observation parameters in order to realize the natural observation of normal type under a given tolerance of error is described. It is believed that the proposed theory offers new insights into systematization of the natural observation theory.

关键词： natural observation method neighboring type equilibrium type normal type

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MAP-AIDED STRUCTURAL-ANALYSIS OF AERIAL imageS

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ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 1995年第4期50卷 3-10页

作者： STILLA, U Research Institute for Image Processing and Pattern Recognition (FGAN/FIM) Eisenstockstr. 12 76275 Ettlingen Germany

A syntax-oriented method for a map-aided analysis of structures in aerial images is proposed. First the map must be analysed in order to obtain a suitable representation of its knowledge content. A special kind of graph, a so-called image-description graph, is the result of this map analysis. The knowledge of the map, represented on different description levels, is used to control the search process during the image analysis. Based on this knowledge, expectations for attribute values of image objects are defined. Generated objects are assessed relative to the expectations of the map and the object model. A set-oriented selection method is applied to deduce the processing priority using these two assessments. Expected objects are preferably processed for building up more complex objects. Thus the map-aided analysis can be used to reduce the processing time for a verification task.

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Hardware Implementation and System Control Strategy of Videoconference System Based on Rec. H. 261

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High Technology Letters 1995年第2期1卷 73-77页

作者：闫安 Institute of Image Processing & Pattern Recognition Shanghai Jiao Tong University Shanghai 200030 P. R. China

The design and realization of a videoconference system based on international recommendation are introduced in this paper, and the hardware implementation of video codec based on ITU-T H. 261 is briefly discussed. Furthermore, the buffer control method and the adaptive control strategy for quantization are proposed, which are adaptive and robust. This system can be operated under the transmission rate ranging from 128kb/s to 2Mb/s. With these strategies for the videoconference system, the high quality image is obtained. The time delay of the system is about half a second.

关键词： Recommendation H. 261 Videoconference Codec Buffer control

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Towards higher decimation ratios 6th

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6th International Conference on Computer Analysis of images and patterns, CAIP 1995

作者： Kropatsch, Walter G. Technical University of Vienna Institute for Automation 183/2 Department for Pattern Recognition and Image Processing Treitlstr. 3 WienA-1040 Austria

ISBN: (纸本)3540602682

The structural component of a computer vision model expresses qualitative image and scene properties. In our approach a hierarchy of plane graphs forms the structure to represent a variety of different levels of abstraction. Repeated parallel application of dual graph contractions generates a stack of successively smaller graphs bottom-up: an irregular pyramid. This process preserves topological relations among the 'surviving' components. The decimation ratio determines the pyramid's height and, as a consequence, the speed of top-down retrieval of visual features stored in the cells of the pyramid. The new version can contract dual image graphs gradually from the elimination of a single vertex per step up to a complete contraction into a single (top) vertex. Decimation parameters control one single dual contraction of the graph. Equivalent contraction kernels combine several sets of decimation parameters. They can generate the same result in one single dual contraction. © Springer-Verlag Berlin Heidelberg 1995.

关键词： Computers

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A new spatiotemp oral approach for image analysis. Application to motion detection 6th

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6th International Conference on Computer Analysis of images and patterns, CAIP 1995

作者： Caplier, Alice Luthon, Franck Image Processing and Pattern Recognition Laboratory Grenoble National Polytechnical Institute LTIRF INPG 46 avenue Félix-Viallet Grenoble Cedex38031 France

ISBN: (纸本)3540602682

image sequence analysis involves 3D data. Consequently, we propose a new spatiotemporal global approach for image sequence processing where an image sequence is regarded as a 3D data flow. This approach is illustrated in the case of motion detection in a Markovian framework. This leads to the development of a 3D Markov Random Field based algorithm which takes into account in the same way spatial and temporal dimensions. The required relaxation algorithm runs on (x, y, t) for the whole image sequence. Motion detection results illustrate the efficiency of this algorithm. © Springer-Verlag Berlin Heidelberg 1995.

关键词： Markov processes

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INCREASING THE FEATURE SIZE IN HANDWRITTEN NUMERAL recognition TO IMPROVE ACCURACY

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SYSTEMS AND COMPUTERS IN JAPAN 1995年第8期26卷 35-44页

作者： WAKABAYASHI, T TSURUOKA, S KIMURA, F MIYAKE, Y Member Faculty of Engineering Mie University Tsu Japan 514 Furnitaka Kimura:received his B.E. and Ph.D. degrees in 1973 and 1978 respectively from Nagoya University where he was appointed a Research Associate the same year. He has been an Associate Professor at Mie University since 1983. He had been a Visiting Associate Professor at the University of Michigan Dearborn from 1989 to 1991. He has engaged in research on pattern recognition image processing computer graphics. He is a member of Institute of Information Processing Japan Institute of Medical Engineering Japan and Institute of Artificial Intelligence Japan. Members Yasuji Miyab:received his B.E. and Ph.D. degrees in 1957 and 1965 respectively from Nagoya University where he was appointed a Research Associate in 1965. He was appointed to a Lecturer in 1968 and an Associate Professor in 1969. He has been a Professor at Mie University since 1978. He has engaged in research on machine recognition of handwritten characters computer graphics and medical image processing. He is a member of Institute of Information Processing Japan Institute of Artificial Intelligence Japan Institute of Robotics Japan I.E.E.E. Japan and Institute of Simulation Japan.

The relationship between the recognition rate of handwritten numerals and the normality of the distribution of their features has been investigated experimentally with a large amount of data in various combinations of quantized orientations and regions. The recognition method is based on the histogram of local orientation of contours of each numeral. To obtain a more accurate orientation quantization, the effectiveness of the orientation quantization using the gray-scale gradient has also been investigated. The results show that: (1) to increase the dimensionality of features, it is better to increase the number of quantized orientations, keeping the number of regions small (e.g., 4 x 4 or 5 x 5);(2) in the same dimensionality, the better the normality of a feature distribution, the higher the recognition rate;(3) a quantization of orientations using gray scales is effective for normalizing a feature distribution;and (4) the filter processing in reduction of the number of quantization scales improves the normality and recognition rate. The recognition of handwritten numerals collected from actual posts were carried out by using the gray-scale local-orientation histogram (400 dimensions). A correct recognition rate of 99.18 percent (mean value) has been obtained.

关键词： CHARACTER recognition pattern recognition ZIP CODE recognition FEATURE EXTRACTION GRADIENT NORMALITY

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MODEL-BASED OBJECT recognition USING BASIC PROBABILITY ASSIGNMENT

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SYSTEMS AND COMPUTERS IN JAPAN 1995年第12期26卷 49-57页

作者： YAMANE, S AOKI, K IZUMI, M FUKUNAGA, K Associate Member College of Engineering University of Osaka Prefecture Sakai Japan 593 Member Members Kunio Fukunafa:received his B.E. M.E. and Dr. of Eng. degrees in Electrical Engineering from University of Osaka Prefecture Osaka Japan 1967 1969 and 1973 respectively. He has been with the University of Osaka Prefecture since 1969 where he is now a Professor in the Department of Information and Systems Sciences. His current research interests include pattern recognition and image processing. He is a member of the Institute of Electronics Information and Communication Engineers of Japan the Information Processing Society of Japan the Japanese Society for Artificial Intelligence and the IEEE.

A method of object recognition is proposed based on Dempster-Shafer theory (DS theory), which can treat the ambiguity of image data. A model based object recognition technique based on an aspect imaging method will also be proposed. The aspect imaging method recognizes a similar aspect object by comparing an input image with an aspect image of the model database. Our proposed method calculates the degree of similarity based on the DS theory instead of Bayes theory, represents an uncertainty factor of similarity as a basic probability of DS theory, and assigns a basic probability of information to be decided. The experimental results show that the proposed method is both more robust and more reliable.

关键词： OBJECT recognition DEMPSTER-SHAFER THEORY image AMBIGUITY

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Acceptance and generation of general wave by a natural observation filter

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 1995年第11期78卷 1-8页

作者： Iijima, T Honorary Member Japan Advanced Institute of Science and Technology Ishikawa Japan 923-12 Taizo lijima:graduated with a B.E. degree from the Tokyo Institute of Technology in 1948 and received his Ph.D. degree later. He joined the Electro-Technical Laboratories in 1948and since then has been involved in research on electromagnetic theory pattern recognition theory image processing voice recognition and research and development of OCR etc. After serving as the head of Iijima Special Research Laboratories he became Professorat the Tokyo Institute of Technology in 1972. Later he became the Professor Emeritus of that Institute in 1986. He became a Professor at Tokyo Engineering University and Professor Emeritus of that University in 1991. In 1991 he became Professor at the Japan Advanced Institute of Science and Technology and was appointed Vice President of that Institute in 1992. He served successively as editor examiner secretary of general affairs inspector councilor committee-head of pattern recognition and specialized studies head of Tokyo chapter and vice president of this Institute. In 1991 he became the Honorary Member.He received the Paper Award from the Institute four times and the literary works Award once. He received the Achievement Award and the Distinguished Service Award in 1976 and 1989 respectively. He received the Purple Ribbon Medal from the Emperor in 1988.

During the past few years, there has been a series of papers published on the theory of the natural observation method. As one of the important applications of this theory, the problems of acceptance and generation of a general waveform are discussed here. The case of polynomial waveforms and its corresponding theory was published previously. A great extension of that theory which covers general waveforms is presented here and its full picture is clarified.

关键词： natural observation filter acceptance of a wave generation of a wave theory of natural observation of the normal type

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Development and application of MCAL tools for marine radar instruction

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Computer Applications in Engineering Education 1995年第4期3卷 259-259页

作者： Guirguis, S. Korany, E. Abdel-Bary, A. Institute of Graduate Studies and Research Alexandria University Alexandria Egypt Shawkat K. Guirguis:obtained the BSc and M.Sc. degrees in Computer Science and Automatic Control Faculty of Engineering Alexandria University in 1981 and 1984 respectively. In 1988 he obtained a PhD degree in Electronics and Communications Faculty of Engineering Cairo University co-supervised by the Imperial College of Science and Technology University of London where he spent two years as an academic visitor. His current research interests include software quality management multimedia automatic programming and decision support systems. He is currently a lecturer of Computer Science at the Institute of Graduate Studies & Research Alexandria University. Ezzat A. Korany:received the BS degree in Electrical Engineering (Electronics Section) from the University of Alexandria Egypt in 1971 the MS degree in Electrical Engineering (Computer Section) from Ain Shams University Cairo Egypt in 1977 and the PhD degree in Electrical Engineering (Digital Systems) from Florida Institute of Technology U.S.A. in 1982. He is currently an associate professor of Computer Science at the Institute of Graduate Studies & Research University of Alexandria. His research interests are in data communications and multimedia applications computer networks image processing and pattern recognition. Abdel-Latif A. Abdel-Bary:obtained the BEng degree in Electronics Technology from Arab Maritime Transport Academy in 1986. In 1995 he obtained the MSc degree in Information Technology from the Institute of Graduate Studies & Research Alexandria University. His current research interests include ICAL hypermedia and automatic programming.

In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional course information through various types of computer media as opposed to the classic CAL systems. The philosophy and techniques employed to design the system are investigated. Usage of the implemented system and its merits have been illustrated through its application to teach engineering students and technicians the theory and concepts of marine radar. System design, implementation, test, and revision phases are presented and discussed.

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SEVERAL image VECTOR QUANTIZER CODEBOOK DESIGNS BASED ON NEURAL NETWORK

SEVERAL IMAGE VECTOR QUANTIZER CODEBOOK DESIGNS BASED ON NEU...

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International Conference on Communication Technology(ICCT’94)

作者： Yan An Yu Song Yu Institute of Image Processing & Pattern Recognition Jiao Tong University

The goal of image coding is to reduce both the distortion and the bit rate to an acceptable *** are many ways to design the *** this paper several methods are presented,most of them are based on the Neural *** that initial codebook is one of the deficiencies of LBG algorithm,the APEX algorithm is applied to generate the initial ***,a Neural Network way,the competitive learning neural network,is proposed to try to construct a new way of ***,the reduced dimention VQ system based on neural network is constructed to obtain an efficient way to compress image with low bit rale and distortion,especially the high dimention data compress problem.

关键词： image LBG SEVERAL image VECTOR QUANTIZER CODEBOOK DESIGNS BASED ON NEURAL NETWORK

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