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Adaptive Enhancement of Historical Document images

Adaptive Enhancement of Historical Document Images

引用

ieee International symposium on signal processing and Information Technology (ISSPIT)

作者： N. Krishna Kishore Priti P. Rege Department of Electronics and Telecommunications College of Engineering Pune India

In this paper we present a simple and computationally efficient method for document image enhancement. We use Unsharp masking to enhance the edge detail information in the degraded document. This image is then used to adjust the local threshold for each pixel. Proposed method is experimentally compared with Laplacian sign method and the Otsu method. It is shown that the method improves sharpness of the image with nearly half computational time.

关键词： Histograms image storage Entropy Degradation Laplace equations Background noise Lighting image enhancement Pixel Noise shaping

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Opposite Transfer Functions and Backpropagation Through Time

Opposite Transfer Functions and Backpropagation Through Time

引用

ieee symposium on Foundations of computational intelligence, FOCI

作者： Mario Ventresca Hamid R. Tizhoosh Pattern Analysis and Machine Intelligence (PAMI) laboratory Systems Design Engineering Department University of Waterloo Waterloo ONT Canada

Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process to achieve high accuracy is high. While many approaches have been proposed that alter the learning algorithm, this paper presents a computationally inexpensive method based on the concept of opposite transfer functions to improve learning in the backpropagation through time algorithm. Specifically, we will show an improvement in the accuracy, stability as well as an acceleration in learning time. We will utilize three common benchmarks to provide experimental evidence of the improvements

关键词： Transfer functions Backpropagation algorithms signal processing algorithms Recurrent neural networks Acceleration Convergence computational intelligence Stability Nonlinear dynamical systems computational complexity

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Arterial Blood Pressure System Modeling and signal Analysis

Arterial Blood Pressure System Modeling and Signal Analysis

引用

ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： Alexander J. Ebenal Susan Vasana Corry Clinton Daniel Cox Timothy Shine School of Engineering University of North Florida Jacksonville FL USA Anasthesia Department Mayo Clinic Jacksonville Jacksonville FL USA

An approach to modeling and signal processing of the human heart is presented. First the anatomy of the heart is described and the anatomical functions performed are outlined. A preliminary model of the cardio-systemic circuit system is described. The aim is to further refine the model to correlate to measured responses and characterization of those responses. The APB signal analysis method is quantified and empirical examples are provided and analyzed.

关键词： Arterial blood pressure Modeling signal analysis Heart Lungs Arteries Circuits Veins Valves Carbon dioxide

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Probabilistic Inference to the Problem of Inverse-halftoning based on Statistical Mechanics of the Q-Ising Model

Probabilistic Inference to the Problem of Inverse-halftoning...

引用

ieee symposium on Foundations of computational intelligence, FOCI

作者： Yohei Saika Jun-ichi Inoue Wakayama National College of Technology Gobo Wakayama Japan Graduate School of Information Science and Technology Sapporo Japan

On the basis of statistical mechanics of the Q-Ising model, we formulate the problem of inverse-halftoning using the maximizer of the posterior marginal (MPM) estimate for halftone images obtained by the threshold mask method. Then, we estimate the performance of the method in terms of the mean square error and the histogram of the gray-level using the Markov-chain Monte Carlo simulation. The simulation for a set of snapshots of the Q-Ising model reveals the results that the MPM estimate works effectively for the problem of inverse-halftoning, if we appropriately set the parameters of the model prior expressed by the Boltzmann factor of the Q-Ising model. We then clarify that the model prior shifts the gray-level images from both sides to the middle range of the gray-level in the procedure of inverse-halftoning. Also, these properties are confirmed by the MCMC method even for real-world images.

关键词： image restoration Mean square error methods Histograms Information processing Error correction codes Low pass filters image generation computational intelligence image analysis Informatics

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The Use of Interval Methods in signal processing and Control for Systems Biology

The Use of Interval Methods in Signal Processing and Control...

引用

ieee symposium on Foundations of computational intelligence, FOCI

作者： William Edmonson Senanu Ocloo Cranos Williams Winser Alexander Department of Electrical and Computer Engineering North Carolina State University USA

The development of approaches for understanding the complex dynamics of biological systems is a growing research area in electrical engineering, particularly in the fields of signal processing and controls. The focus of our research is the exploitation of the parallels between engineering and biology through the development of optimization and identification methods. Specifically, this research consists of developing methods for the estimation of unmeasured states, the identification of parameters of kinetic models and the validation of biochemical models. This work falls under the general research topic of systems biology. We explore the use of interval analysis in developing numerical algorithms for optimization and validation of systems biology problems. A major attribute of this method is that convergence to global minima is guaranteed. This paper includes a development of an adaptive interval optimization method based on the branch-and-bound method known as smooth interval branch-and-bound. One potential impact of this research is the development of more accurate models of biological systems. This will aid in the design of drugs for cancer and disease treatment and aid in the study of how they propagate

关键词： Biomedical signal processing Process control Biological control systems Control systems Systems biology Biological system modeling Biological systems Optimization methods Electrical engineering State estimation

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Towards the virtual remote sensing laboratory: simulation software for intelligent post-processing of large scale remote sensing imagery

Towards the virtual remote sensing laboratory: simulation so...

引用

ieee International symposium on Geoscience and Remote Sensing (IGARSS)

作者： Yuriy V. Shkvarko Juan Gutierrez Luis G. Guerrero CINVESTAV Guadalajara Mexico

We address a novel look at the problem of computational simulation of different tasks related to enhancement and post-processing of the remote sensing (RS) imagery provided with different sensor systems/methods as required for end-user-oriented environmental monitoring and resource management. The unified intelligent regularization enhancement/reconstruction/post-processing methodology is developed and the "virtual RS laboratory" (VRSL) software is elaborated that provides the end-user with efficient computational tools to perform numerical simulations of different RS image processing problems. Computer simulation examples are reported to illustrate the usefulness of the elaborated VRSL for algorithmic-level optimization of high- resolution image formation, enhancement and post-processing tasks performed with the real-world RS imagery.

关键词： Remote sensing Laboratories Large-scale systems Remote monitoring computational modeling computational intelligence Intelligent sensors Sensor systems Computerized monitoring Resource management

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Channel Selection in EEG-based Prediction of Shoulder/Elbow Movement Intentions involving Stroke Patients: A computational Approach

Channel Selection in EEG-based Prediction of Shoulder/Elbow ...

引用

ieee symposium on computational intelligence and Bioinformatics and computational Biology (CIBCB)

作者： Jie Zhou Sundeep Yedida Department of Computer Science Northern Illinois University DeKalb IL USA

Brain computer interface (BCI) has gained a lot of attention recently, as a means to detect individuals' intents using brain signals such as electroencephalographic (EEG) for control of machines. In order to achieve the possible use of BCI in stroke rehabilitation, computational intelligent algorithms are important for reliable separation of shoulder versus elbow movement intentions. Efforts have been made on developing data processing and classification algorithm for such task. Differently, this paper investigates the optimal use of electrodes and signal channels, which is formulated as a data-driven feature selection problem. 163 EEG electrodes are used to collect scalp recordings to predict shoulder abduction and elbow flexion intentions in healthy and stroke subjects. We combine the support vector channel selection with a time-frequency synthesized classification algorithm and examine the performances of using different subsets of channel inputs. Preliminary results show that 1) a reduced number of electrodes can be used to achieve the same or better performance than using the full set of signal channels; 2) besides the fact that the accuracy on able-bodied subjects is expectedly higher than the stroke subject, the stroke subject tends to need more electrodes to achieve the best performance; 3) visualization of spatial distribution of channel rankings shows reasonable connection with functional motor cortex areas

关键词： Elbow Electrodes Electroencephalography Classification algorithms Brain computer interfaces computational intelligence Machine intelligence Competitive intelligence Data processing Scalp

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A new algorithm on short window MDCT for Dolby AC3

A new algorithm on short window MDCT for Dolby AC3

引用

ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Tao Zhang Shuo Liu Jialin He Hai Zhang School of Electronic and Information Engineering Tianjin University TJU China

Dolby Lab's AC-3 standard has been widely used in many fields. As an indispensable module, the implementation of MDCT/IMDCT should be optimized in efficiency and structure. There is a variable parameter in the MDCT definition. Many fast algorithms have been presented to implement MDCT, however the difference among the computational structures of different types of MDCT brings inefficiency in code structure. Here a new algorithm on short MDCT using long MDCT 's computational structure is proposed.

关键词： signal processing algorithms Discrete transforms Discrete Fourier transforms Helium Communication standards Costs Hardware Engines computational intelligence Discrete cosine transforms

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A Human Gait Analyzer

A Human Gait Analyzer

引用

ieee International symposium on Intelligent signal processing

作者： Joao P. Ferreira Manuel Crisostomo A. Paulo Coimbra David Carnide Antonio Marto Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Portugal

ISBN: (纸本)9781424408290;1424408296

With this work, it is intended to do the tracking and analysis of the human motion, more specifically the gait. By using computational vision, it has been acquired the trajectories of defined control points in individuals' body, throughout time and space. These results are to be used afterwards in gait specification of biped robots. Several types of movement and the phases that compose a common system of capture and analysis of movement are referenced. Then, methods used in image processing and a description of existing gait types are detailed. Finally, the implemented software is presented and the results analyzed.

关键词： Humans Service robots Medical robotics Computer vision Intelligent robots Biomedical imaging Kinematics Data mining image processing Aerospace industry

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An Efficient Distance Calculation Method for Uncertain Objects

An Efficient Distance Calculation Method for Uncertain Objec...

引用

ieee symposium on computational intelligence and Data Mining (CIDM)

作者： Lurong Xiao Edward Hung Department of Computing Hong Kong Polytechnic University Hung Hom China

Recently the academic communities have paid more attention to the queries and mining on uncertain data. In the tasks such as clustering or nearest-neighbor queries, expected distance is often used as a distance measurement among uncertain data objects. Traditional database systems store uncertain objects using their expected (average) location in the data space. Distances can be calculated easily from the expected locations, but it poorly approximates the real expected distance values. Recent research work calculates the expected distance by calculating the weighted average of the pair-wise distances among samples of two uncertain objects. However the pair-wise distance calculations take much longer time than the the former method. In this paper, we propose an efficient method approximation by single Gaussian (ASG) to calculate the expected distance by a function of the means and variances of samples of uncertain objects. Theoretical and experimental studies show that ASG has both advantages of the latter method's high accuracy and the former method's fast execution time. We suggest that ASG plays an important role in reducing computational costs significantly in query processing and various data mining tasks such as clustering and outlier detection

关键词： Data mining Nearest neighbor searches Probability distribution Database systems image sensors image processing Relational databases computational intelligence Communities Distance measurement

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