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22nd International conference on Soft Computing, MENDEL 2016

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22nd International conference on Soft Computing: Evolutionary Computation, Genetic Programming, Swarm Intelligence, Fuzzy Logic, Neural Networks, Chaos, Bayesian Methods, Intelligent image processing, Bio-Inspired Robotics, MENDEL 2016

ISBN: (纸本)9783319580876

The proceedings contain 25 papers. The special focus in this conference is on Soft Computing. The topics include: A multilevel genetic algorithm for the maximum constraint satisfaction problem;models and simulations of queueing systems;influence of random number generators on GPA-ES algorithm efficiency;genetic algorithm based random selection-rule creation for ontology building;improving artificial fish swarm algorithm by applying group escape behavior of fish;genetic programming algorithm creating and assembling subtrees for making analytical functions;comparison of parallel linear genetic programming implementations;geometric particle swarm optimization and reservoir computing for solar power forecasting;walkSAT based-learning automata for MAX-SAT;a self-adaptive artificial bee colony algorithm with incremental population size for large scale optimization;lie algebra-valued bidirectional associative memories;guaranteed training set for associative networks;Markov chain for author writing style profile construction;maximum traveling salesman problem by adapted neural gas;conjugate gradient algorithms for quaternion-valued neural networks;evaluating suitable job applicants using expert system;a computationally efficient approach for mining similar temporal patterns;estimating prevalence bounds of temporal association patterns to discover temporally similar patterns;an approach for imputation of medical records using novel similarity measure;implementation of particle filters for mobile robot localization;direct point cloud visualization using T-spline with edge detection and development of methods of the fractal dimension estimation for the ecological data analysis.

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Application of SVM based on genetic algorithm in classification of cataract fundus images

Application of SVM based on genetic algorithm in classificat...

引用

IEEE International Workshop on Imaging systems and Techniques (IST)

作者： Zhiqiang Qiao Qinyan Zhang Yanyan Dong Ji-Jiang Yang Automation School Beijing University of Post and Telecommunications Beijing Research Institute of Information Technology Tsinghua University Beijing

Cataract is one of the most common diseases that might cause blindness. Previous research shows that cataract occupies almost 50% in severe visually impairments. Fundus image is a significant reference for the diagnosis of the cataract disease. The classification of fundus images mainly consists of four parts: pre-processing of fundus images, features extraction, features weighting and classification. In this paper, firstly a whole fundus image is divided into 17 images evenly, secondly features are extracted features from each sub-image, then the feature vectors are weighted with the result of genetic algorithm and finally support vector machine is used to train and classify the fundus images. The experimental result shows that the accuracy of four-class classification can reach 87.52%.

关键词： Feature extraction Support vector machines Wavelet transforms image segmentation Genetic algorithms Classification algorithms Biomedical imaging

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Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments 13

Real-Time Data Analysis and Autonomous Steering of Synchrotr...

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13th Annual IEEE International conference on e-Science (e-Science)

作者： Bicer, Tekin Gursoy, Doga Kettimuthu, Rajkumar Foster, Ian T. Ren, Bin De Andrede, Vincent De Carlo, Francesco Argonne Natl Lab Math & Comp Sci Div Lemont IL 60439 USA Argonne Natl Lab Adv Photon Source Xray Sci Div Lemont IL 60439 USA Univ Chicago Computat Inst Chicago IL 60637 USA Argonne Natl Lab Chicago IL 60637 USA Univ Chicago Dept Comp Sci Chicago IL 60637 USA Coll William & Mary Comp Sci Dept Williamsburg VA 23185 USA

ISBN: (纸本)9781538626863

Modern scientific instruments, such as detectors at synchrotron light sources, can generate data at 10s of GB/sec. Current experimental protocols typically process and validate data only after an experiment has completed, which can lead to undetected errors and prevents online steering. Real-time data analysis can enable both detection of, and recovery from, errors, and optimization of data acquisition. We thus propose an autonomous stream processing system that allows data streamed from beamline computers to be processed in real time on a remote supercomputer, with a control feed-back loop used to make decisions during experimentation. We evaluate our system using two iterative tomographic reconstruction algorithms and varying data generation rates. These experiments are performed in a real-world environment in which data are streamed from a light source to a cluster for analysis and experimental control. We demonstrate that our system can sustain analysis rates of hundreds of projections per second by using up to 1,200 cores, while meeting stringent data quality constraints.

关键词： image reconstruction Data acquisition Tomography Light sources Real-time systems Detectors Data analysis

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Digital video stabilization-review with a perspective of real time implemention

Digital video stabilization-review with a perspective of rea...

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International conference on Recent Innovations in Signal processing and Embedded systems (RISE)

作者： Mohd. Ahmed AISECT University

ISBN: (纸本)9781509047611;9781509047604

Installed Onboard cameras considering cases of off road unmanned navigating ground vehicles experience severe jitter and vibration. This leads to the prerequisite that the video images acquired from these platforms need to be heavily preprocessed to eliminate the jitter induced variations before human analysis. Digital Video stabilization system is the process of using electronic processing to control the image stability. That is, only software algorithms are used rather than hardware components such as motion sensors, actuators or floating lenses to compensate the disturbances. This makes digital stabilization more portable and cost effective among other methods. Digital stabilization can be used for real time and offline applications if the algorithms are optimized. This literature discusses the state of the art in the field of DVS with an implementation aspect of its use in challenging environment of unmanned ground vehicles where due to the dynamic nature of the vehicle, vibrations and oscillations are affect the camera resulting in a shaky and unstable video feed.

关键词： Motion estimation Mathematical model Jitter Kalman filters Streaming media Real-time systems

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Evaluation of correction methods of lateral chromatic aberration in digital eye fundus images

Evaluation of correction methods of lateral chromatic aberra...

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8th International conference of Pattern Recognition systems (ICPRS 2017)

作者： V. Jakstys V. Marcinkevicius P. Treigys Vilniaus Universitetas Vilnius LT

ISBN: (纸本)9781785616525

This paper focuses on the lateral chromatic aberration correction to eliminate the chromatic aberration effect with image processing methods. images were captured by the portable non-mydriatic eye fundus orbital camera that has no achromatic lenses. image processing methods for correcting the lateral chromatic aberration effect correction try to scale the fringed colour channels so that all channels spatially overlap each other correctly in the final image. Classical algorithms are based on different patterns evaluation to derive an appropriate model for the correction. In this research, we have shown that these patterns can be successfully replaced with a map of detected eye fundus blood vessels. A comparison of the pattern (chessboard and circles) based method and the proposed method was accomplished using five different correction models: simple, affine, projective and two radial ones with one and two coefficients. Quality of images was measured and evaluated using Blur Metric, Chromatic Zipper and Achromatic Zipper metrics. The results have showed that the chromatic aberration correction using both methods have a significantly improved quality of the original images.

关键词： aberrations biomedical optical imaging blood vessels cameras eye medical image processing CHROMATIC ABERRATION Fundus Oculi Biomedical optical imaging Medical image processing Cameras aberrations Blood Vessels Eye images original image

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SCORBOT-ER iii Robotic Arm Detection and Control with Color Recognition with the Possibility for Using in Sun Tracker Applications 17

SCORBOT-ER III Robotic Arm Detection and Control with Color ...

引用

17th IEEE International conference on Environment and Electrical Engineering (IEEE EEEIC) / 1st IEEE Industrial and Commercial Power systems Europe conference (IEEE I and CPS Europe)

作者： Szabo, Roland Gontean, Aurel Politehn Univ Fac Elect & Telecommun Dept Appl Elect Timisoara Romania

ISBN: (纸本)9781538639177

This work shows the control and detection in space of the SCORBOT-ER iii industrial/educational robotic arm. The robotic arm has glued markers on the joints, which are distinguished using image processing techniques. These key points on the robotic arm are joined with lines, which are overlaid on the initial image. These lines fill in as direction for further mathematical calculations, which makes possible the controlling of the robotic arm. The robotic arm's position is recognized with stereo cameras, this way have the possibility to be controlled in the 3D space. The technique makes possible for the robotic arm to be controlled using only the information got from the cameras;preprogramming was not done. In the case that light tracker sensors are utilized, the mechanical arm can be used effortlessly as a sun tracker robot, to turn the solar panel toward the sun, along these lines expanding their effectiveness.

关键词： autonomous movement color detection marker recognition motor control movement control position calculation robotic arm sun tracking

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Method of vibroacoustic signal spectrum optimization in diagnostics of devices

Method of vibroacoustic signal spectrum optimization in diag...

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International conference on systems, Signals and image processing, IWSSIP

作者： Marcin Jarmołowicz Eugeniusz Kornatowski West Pomeranian University of Technology Szczecin Poland

The vibroacoustic method of device diagnostics is most often based on spectrum analysis of digitally recorded vibration signal of their mechanical elements. In the steady-state, depending on the test object, the signal may contain only fundamental frequency and harmonics. Then, in case of poor mechanical condition, diagnostic signal contains also some foreign frequencies. Using signal of finite length for computing its spectrum causes some deviations in spectrum structure. It can be the reason for misinterpretation because of array frequencies occurring in DFT, which in fact do not exist in the signal and existing frequencies, which have incorrect amplitude. To reduce this effect, the window function can be used. Taking into consideration the special spectral structure of diagnostic signals in the steady-state, it is possible to adjust parameters of signals in such a way to eliminate any distortion for regular frequencies. For this purpose, if further analysis requires a fixed number of signal samples, by signal resampling, spectral resolution can be adjusted to the harmonics existing in the signal, especially, when processed are signals already recorded with unwanted sampling frequencies.

关键词： Signal resolution Engines Power transformers Optimization Harmonic analysis Signal processing algorithms Vibrations

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High Level Synthesis using Vivado HLS for Zynq SoC: image processing Case Studies 31

High Level Synthesis using Vivado HLS for Zynq SoC: Image Pr...

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31st conference on Design of Circuits and Integrated systems (DCIS)

作者： Cortes, A. Velez, I. Irizar, A. CEIT Dept Elect & Commun Manuel de Lardizabal 15 San Sebastian 20018 Spain Univ Navarra Tecnun Manuel de Lardizabal 15 San Sebastian 20018 Spain

ISBN: (纸本)9781509045655

In this paper, image processing algorithms designed in Zynq SoC using the Vivado HLS tool are presented and compared with hand-coded designs. In Vivado HLS, the designer has the opportunity to employ libraries similar to OpenCV, a library that is well-known and wide used by software designers. The algorithms are compared in terms of area resources in two conditions: using the libraries and not using the libraries. The case studies are Data Binning, a Step Row Filter and a Sobel Filter. These algorithms have been selected because they are very common in the field of image processing and they have high computational complexity. The main benefit of the Vivado HLS tool is the reduction in time-to-market. On the other hand, when a software designer hand-codes the design, the use of image processing libraries similar to OpenCV helps to reduce development time even further because software designers are familiar with them. However, using these kinds of libraries significantly increases the necessary FPGA resources.

关键词： image processing

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Denoising techniques for low intensity fluorescense signal of DNA microarrays

Denoising techniques for low intensity fluorescense signal o...

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International conference on Recent Innovations in Signal processing and Embedded systems (RISE)

作者： Rohit Sharma Ratnesh Singh Sengar D. N. Badodkar Division of Remote Handling & Robotics Bhabha Atomic Research Centre Mumbai India

ISBN: (纸本)9781509047611;9781509047604

DNA microarrays play a very important role in clinical diagnosis to find out the expression levels of large number of genes simultaneously and mutation of the genes in a given organism. This raw microarray fluorescence signal has a lot of noise, which may originate from auto fluorescence, background noise, non specific binding and detector itself. In this paper, we tried to exploit the different denoising algorithms based on the diffusion filtering and perform their comparative study to find out the best method suitable for low intensity images of microarray. A quantitative measure of image is provided by signal to noise ratio (SNR) of image and visual quality of denoised images compared with universal quality index. This helps to reduce the quantification errors in calculating the expression levels in individual microarray spots and for better representation of the microarray data for clinical diagnosis.

关键词： image edge detection Anisotropic magnetoresistance Signal to noise ratio Fluorescence DNA Noise measurement Noise reduction

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Automatic design of heat sink using genetic algorithms, Lindenmayer systems and digital image processing 8

Automatic design of heat sink using genetic algorithms, Lind...

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8th International conference on Digital image processing (ICDIP)

作者： Martinez, Fernando Martinez, Fredy Montiel, Holman Dist Univ Francisco Jose de Caldas Bogota Colombia

ISBN: (纸本)9781510605039;9781510605046

This paper shows the results of the automatic design of a generic heat sink, through a morphogenesis algorithm done in Matlab. This algorithm is based on two-dimensional fractal images, generated by Lindenmayer systems, which create the heat sink shape. Those shapes iteratively evolve through a genetic algorithm in order to maximize their heat dissipation capability, estimating it through measurements of their surface and volume. Evaluation process was supported by image processing algorithms. Finally finite elements simulations are carried out in order to determine the real heat dissipation capability of each design and thus obtaining some valid heat sink shapes.

关键词： morphogenesis heat sink genetic algorithms Lindenmayer systems L-systems image processing

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