Histologic evidence revealed by the light microscope has remained a cornerstone of medical diagnosis, and presents a significant visual in formation processing burden in clinical medicine. Computer technology can obvi...
详细信息
Histologic evidence revealed by the light microscope has remained a cornerstone of medical diagnosis, and presents a significant visual in formation processing burden in clinical medicine. Computer technology can obviate the personal equation of traditional visual microscopy, and may lead to medical decision-making systems having a reliability, consistency and accuracy that can earn for them the rubric, "intelligent machine." This paper lays theoretical foundations for computer-based automation of histology. Graph-theoretic and syntactic models for tissues and other natural textures, and statistical models which complement them, provide canonical representations for analysis, discrimination, and synthesis of histologic patterns. Examples are selected from epithelium and muscle.
This symposium contains 96 papers, of which 5 are given in abstract form only. Eighty-four papers are indexed separately. The topics covered are: medical ultrasound images;shape analysis and edge detection;defense app...
详细信息
This symposium contains 96 papers, of which 5 are given in abstract form only. Eighty-four papers are indexed separately. The topics covered are: medical ultrasound images;shape analysis and edge detection;defense applications;image filtering and compression;statistical pattern recognition;computed tomography;map data processing;computational aspects PRIP methodologies;structural pattern recognition;image segmentation and structure;imageprocessing applications;cooperative methods in imageprocessing;pictorial data bases and data structure;algorithms in pattern classification;and analysis of cell images.
Currently used methods of computerized tomographic image reconstruction require a large number of measurements relative to the number of picture elements to be estimated, but employ computationally simple algorithms. ...
详细信息
Currently used methods of computerized tomographic image reconstruction require a large number of measurements relative to the number of picture elements to be estimated, but employ computationally simple algorithms. However these reconstruction methods do not optimally use the information contained in the measurements. In view of this a class of recursive algorithms are developed which use data more efficiently at the price of a small increase in computational complexity per measurement. These algorithms are useful in cases where the number of measurements are limited by time, cost, geometry, or independence constraints.
Currently used methods of computerized tomographic image reconstruction require a large number of measurements relative to the number of picture elements to be estimated, but employ computationally simple algorithms. ...
详细信息
Currently used methods of computerized tomographic image reconstruction require a large number of measurements relative to the number of picture elements to be estimated, but employ computationally simple algorithms. However these reconstruction methods do not optimally use the information contained in the measurements. In view of this a class of recursive algorithms are developed which use data more efficiently at the price of a small increase in computational complexity per measurement. These algorithms are useful in cases where the number of measurements are limited by time, cost, geometry, or independence constraints.
Currently used methods of computerized tomographic image reconstruction require a large number of measurements relative to the number of picture elements to be estimated, and employ computationally simple algorithms. ...
详细信息
Currently used methods of computerized tomographic image reconstruction require a large number of measurements relative to the number of picture elements to be estimated, and employ computationally simple algorithms. However, in cases where the measurement noise is high or the number of measurements is limited by time, cost, geometry, or independence constraints, a more optimal use of the information contained in each measurement is desirable. Using a stochastic analysis, the inherent statistical assumptions of some seemingly deterministic reconstruction techniques are examined, and a class of recursive algorithms are developed which use data more efficiently at the price of a small increase in computational complexity per measurement. Examples of reconstructions from limited noisy data using state-estimation methods such as square-root, Chandrasekhar, and related algorithms are discussed.
One hundred and fifty-six papers were presented at the Third International Joint conference on Pattern Recognition. The individual sessions covered the following topics: Industrial Applications;Feature Extraction and ...
详细信息
One hundred and fifty-six papers were presented at the Third International Joint conference on Pattern Recognition. The individual sessions covered the following topics: Industrial Applications;Feature Extraction and Primitive Selection;Syntactic methods in Pattern Analysis;Optical Character Recognition;Learning Algorithms and Sample Size;Line Drawing and Waveform processing;Interactive Pattern Analysis;statistical Pattern Recognition Theory;Perceptual Modeling;Pattern Recognition Competition;General Applications;Clustering;Linguistic Applications and Natural Language processing;Theoretical Problems;Segmentation and Shape Encoding;Medical imageprocessing and Pattern Analysis;Picture Description and Scene Analysis;Speech Recognition and Data Compression;Remote Sensing;Parallel processing and Two-Dimensional Digital Filtering;Edge, Line and Object Recognition;Applications of Pattern Recognition Technique;image Analysis and Texture;Data Base Computer Systems.
One hundred and fifty-six papers were presented at the Third International Joint conference on Pattern Recognition. The individual sessions covered the following topics: Industrial Applications; Feature Extraction and...
详细信息
One hundred and fifty-six papers were presented at the Third International Joint conference on Pattern Recognition. The individual sessions covered the following topics: Industrial Applications; Feature Extraction and Primitive Selection; Syntactic methods in Pattern Analysis; Optical Character Recognition; Learning Algorithms and Sample Size; Line Drawing and Waveform processing; Interactive Pattern Analysis; statistical Pattern Recognition Theory; Perceptual Modeling; Pattern Recognition Competition; General Applications; Clustering; Linguistic Applications and Natural Language processing; Theoretical Problems; Segmentation and Shape Encoding; Medical imageprocessing and Pattern Analysis; Picture Description and Scene Analysis; Speech Recognition and Data Compression; Remote Sensing; Parallel processing and Two-Dimensional Digital Filtering; Edge, Line and Object Recognition; Applications of Pattern Recognition Technique; image Analysis and Texture; Data Base Computer Systems.
A theory of non-causal interpolative representation of finite discrete signals is developed. It is shown that such representations give lower mean square error, entropy and rate distortion compared to standard Markov ...
详细信息
A theory of non-causal interpolative representation of finite discrete signals is developed. It is shown that such representations give lower mean square error, entropy and rate distortion compared to standard Markov representations. Compared to initial value Markov models, the non-causal models lead to stable boundary value problems. Relationship with Karhunen Loeve (KL) expansion and Innovation representation is established. An alternate interpretation of Wiener filter and a fast algorithm for KL transform of first order Markov sequence are given. Applications to image coding and filtering are discussed. Examples are given to illustrate the new results obtained.
The proceedings consists of 172 papers dealing with a wide variety of aspects of learning methods for large scale systems, computational algorithms, applications of systems theory to resource problems, estimation erro...
详细信息
The proceedings consists of 172 papers dealing with a wide variety of aspects of learning methods for large scale systems, computational algorithms, applications of systems theory to resource problems, estimation error analysis, digital filtering, adaptive control theory and applications, aerospace applications, optimal control, multilevel world modelling, stochastic systems, linear systems, model reference adaptive systems, control of uncertain systems, mini-max problems and differential games, engineering-economic systems, system identification and simulation, imageprocessing, contributions to systems engineering by women, major decision and control issues in military and air traffic control systems, stochastic control and management science, estimation and identification in power systems, applications of structural modelling, and urban systems applications. Individual papers are indexed separately.
A wide variety of topics are discussed in the 179 papers comprising the Proceedings including: modeling and identification of physiological systems, microeconomics, system identification and time series analysis, imag...
详细信息
A wide variety of topics are discussed in the 179 papers comprising the Proceedings including: modeling and identification of physiological systems, microeconomics, system identification and time series analysis, imageprocessing, linear systems, estimation of distributed parameter systems, modern pattern recognition , the status of stability theory, control theory applications to economics, numerical methods, games and minimax problems, estimation, geophysical data processing, adaptive estimation, application of modern control techniques to problems in manned-vehicle analysis, digital and nonlinear systems, computational problems in large-scale systems, learning control, minimax problems and differential games, distributed and hereditary systems, identification, transportation and applications of system theory, optimal control, future directions of society system engineering education, new directions in system science and engineering, input-output analysis in environmental management, Walsh functions, transportation systems, stochastic control systems, air traffic control, pattern recognition in biomedical research, adaptive control, and urban economics. Following is a list of titles and authors: Digital Computer Studies of Respiratory Control. By H. T. Milhorn, Jr. and W. J. Reynolds. Dynamics of the Diaphragm in the Control of Respiration. By Nirmal K. Mishra, Andrew U. Meyer, Ruy V. Lourenco and Arthur L. Rosen. Mathematical Model of Muscular Respiratory Dynamics. By Harvey S. Borovetz and Michael H. Weissman. Model to Predict Respiration from VCG Measurements. By Robert C. Wang and Thomas W. Calvert. Stabilization Policy in the St. Louis Econometric Model. By J. Phillip Cooper and Stanley Fischer. Optimal Control, Uncertainty and a Temporary Incomes Policy. By Franklin R. Shupp. Optimal Price Adjustment: Tests of a Price Equation in U. S. Manufacturing. By Peter von zur Muehlen
暂无评论