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检索条件"任意字段=Conference on Algorithms and Systems for Optical Information Processing VI"

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Contribution of data pre-processing to deconvolution of 3-D fluorescence microscopy images

Contribution of data pre-processing to deconvolution of 3-D ...

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conference on Biophotonics and New Therapy Frontiers

作者： De Meyer, Arnaud Colicchio, Bruno De Mey, Jan Jung, Georges Dieterlen, Alain Haeberle, Olivier Jacquey, Serge Univ Haute Alsace IUT Lab MIPS Grp LabEl 61Rue Albert Camus F-68093 Mulhouse France ESBS Parc Innovat IFR 85 UMR 7100 F-67412 Illkirch Graffenstaden France Ctr Hosp Mulhouse Lab Hematol F-68051 Mulhouse France

ISBN: (纸本)0819462470

3-D optical fluorescence microscopy is an efficient tool for volumic investigation of biological samples. Nevertheless the image acquired by this way is altered by the properties of the microscope, according to its Point Spread Function (PSF). The aim of deconvolution algorithms is the reassignment of defocused information. This method provides an improvement in data quality and the possibility to compare specimens acquired using different systems. But deconvolution requires making a compromise between the precision of the result and the stability of the process, since this stability is directly related to the noise level of the data. This noise can be of different types, mainly electronic noise due to the sensors but we also include in the term "noise" the variation of fluorescence during the acquisition. Numerous deconvolution algorithms exist, giving variable results according to specimen characteristics. For the cases where deconvolution is not enough to obtain usable data, we developed some pre-process treatments. These tools can be used separately or consecutively depending on the application needs and specimen requirements.

关键词： 3-D fluorescence microscopy point spread function data pre-processing deconvolution photobleaching

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Wake acoustic analysis and image decomposition via beamforming of microphone signal projections on wavelet subspaces

Wake acoustic analysis and image decomposition via beamformi...

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12th AIAA/CEAS Aeroacoustics conference

作者： Wassaf, Hadi S. Yan, Zhang Ibe, Oliver C. John A. Volpe National Transportation Systems Center Cambridge MA 02142 Jet Propulsion Laboratory Pasadena CA 91109 University of Massachusetts Lowell Lowell MA 01854 Advanced Communication Navigation and Surveillance Division RTV-4A Interferometry and Advanced Optical Systems Section Department of Electrical and Computer Engineering

ISBN: (纸本)1563478099

This paper describes the integration of wavelet analysis and time-domain beamforming of microphone array output signals for analyzing the acoustic emissions from airplane generated wake vortices. This integrated process provides visual and quantitative simultaneous information about the wake signal composition and array resolution for a particular wavelet subspace during a time interval, T. In the results section, an example is given on how image processing algorithms might be used to automate the extraction of this information and select the wavelet subspaces from which to perform image reconstruction. This process begins with the projection of all the microphone signals on wavelet multi-resolution subspaces. The projections of these signals on the same wavelet subspace or scale are then beamformed to produce an image of the wake corresponding to that particular scale. Therefore for each time interval T, the process produces a number of images equal to that of the wavelet scales. This is equivalent to a more conventional Fourier-based idea of filtering the microphone signals with band-pass liters having non-uniform bandwidths then beamform in different sub-bands, but offers greater flexibility and enhanced computational speed. Results from both approaches will be shown, which ultimately illustrate the advantages of wavelet analysis over that of the Fourier-based analysis. Amongst the advantages are the speed of the decomposition and ease of the image reconstruction from selected subspaces aided by the perfect reconstruction and orthogonality properties of wavelet analysis.

关键词： Acoustic emissions

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The New Estimation Method of Collision Possibility of Approaching Object by Using Fuzzy Inference with Image Features

The New Estimation Method of Collision Possibility of Approa...

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International conference on Innovative Computing, information and Control (ICICIC)

作者： M. Iwasaki T. Yamakawa Life Science and Systems Engineering Kyushu Institute of Technology Kitakyushu Japan

Time-to-collision (TTC) is an indicator for collision avoidance which takes into account the relative velocity of a subject and an object which concerns the subject. The most common approach for estimating TTC is to employ optical flow. However, this method takes a huge processing time. In this paper, we propose a new estimation algorithm to extract the collision possibility of an approaching object. Then, it is eventually used for collision avoidance. With this new algorithm, TTC can be robustly and real-timely obtained by processing simple information from a moving object. The necessary information is the number of active blocks and the changes in that number, and the changes in the center position of the actives blocks. Using this information, the collision possibility is then estimated by fuzzy inference where if the collision possibility is large, TTC is estimated and used for collision avoidance. The effectiveness of the proposed method is confirmed by several computer simulations employing images with dynamic scenes

关键词： Robot sensing systems Inference algorithms Collision avoidance Layout Object detection High speed optical techniques optical sensors Image motion analysis Fuzzy systems systems engineering and theory

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Neuro-Fuzzy Logic Application for Hyperspectral Remote Sensing

Neuro-Fuzzy Logic Application for Hyperspectral Remote Sensi...

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IEEE Instrumentation and Measurement Technology conference

作者： I. M. Petrosyuk Y. Y. Podobna V. M. Contarino P. A. Molchanov O. V. Asmolova National Technical University of Ukraine Kyiv Ukraine Research and Engineering Group Naval Air Systems Command MD USA

This paper reports on a novel approach to the optical information processing for the hyperspectral remote sensing systems by means of developed unification algorithm of the two mathematical tools: the fuzzy logic and the neural network. New neuro-fuzzy classification algorithm for hyperspectral remote sensed images has been proposed. It is able to replace complicated empirical formulae, which require the knowledge of dependences of many input parameters that rapidly change during of range time and difficult for crisp determination

关键词： Hyperspectral sensors Remote sensing Hyperspectral imaging optical computing optical fiber networks optical sensors information processing Fuzzy logic Neural networks Classification algorithms

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Rapid and Reliable Detection of Film Grain Noise

Rapid and Reliable Detection of Film Grain Noise

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IEEE International conference on Image processing

作者： Peter Schallauer Roland Morzinger Institute of Information Systems and Information Management Joanneum Research Forschungsgesellschaft GmbH Graz Austria

The knowledge of material specific film grain characteristics can significantly improve the performance of digital film processing algorithms. This paper proposes a rapid and reliable detector for film grain properties. First, homogeneous blocks concerning intensity and texture are determined by a novel measure calculated in the frequency domain. Second, based on these blocks the signal-dependent grain noise level is estimated and an image region of pure film grain is detected. Evaluation based on a wide range of structured images with high frequent electronic noise and low frequent film grain, shows that the method performs with a worst case estimation error of 2.54 dB in typical movie quality (PSNR of 25-40 dB). This meets the requirements of real applications such as digital film restoration and special effects compositing.

关键词： Noise level optical films Detectors PSNR Image restoration Signal restoration optical noise Frequency measurement Frequency domain analysis Additive noise

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Spatiotemporal Independent Component Analysis for Retinal Images

Spatiotemporal Independent Component Analysis for Retinal Im...

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Asilomar conference on Signals, systems & Computers

作者： Eduardo S. Barriga Marios S. Pattichis M.D. Abramoff D. Ts'o R. Kardon Y. Kwon P. Soliz ECE Department Image University of New Mexico Video Processing and Comm. Lab (ivPCL) Albuquerque NM USA Dept. of Ophthalmology University of Iowa USA State University of New York Syracuse USA Vision Quest Biomedical Albuquerque NM USA

This paper presents a new Independent Component Analysis algorithm (ICA-P) for modeling and measuring physiological responses to optical stimulation from a new, non-invasive optical imaging device. The ICA-P algorithm uses prior information on the visual stimulus to provide improved detection performance. In comparison with other methods that were considered (JADE, Infomax, SOBI, ESD, and Fast-ICA), ICA-P is shown to achieve significantly improved performance in detecting the retinal response to visual stimuli. Results from simulations show that we can estimate retinal reflectance changes as small as 0.01% (-40 dB, 10 dB lower than the other considered methods).

关键词： Spatiotemporal phenomena Independent component analysis Retina Testing optical imaging Signal processing algorithms Biomedical optical imaging optical recording optical filters Reflectivity

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An Effective System for optical Microscopy Cell Image Segmentation, Tracking and Cell Phase Identification

An Effective System for Optical Microscopy Cell Image Segmen...

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IEEE International conference on Image processing

作者： Jun Yan Xiaobo Zhou Qiong Yang Ning Liu Qiansheng Cheng Stephen T.c. Wong HCNR-Center of Bioinformatics Harvard Medical School Boston MA USA LMAM School of Mathematical Science Peking University Beijing China Microsoft Research Asia Beijing China Molecular Imaging Center Brigham and Women''s Hospital Boston MA USA

The lacking of automatic screen systems that can deal with large volume of time-lapse optical microscopy imaging is a bottleneck of modern bio-imaging research. In this paper, we propose an effective automated analytic system that can be used to acquire, track and analyze cell-cycle behaviors of a large population of cells. We use traditional watershed algorithm for cell nuclei segmentation and then a novel hybrid merging method is proposed for fragments merging. After a distance and size based tracking procedure, the performance of fragments merging is improved again by the sequence context information. At last, the cell nuclei can be classified into different phases accurately in a continuous hidden Markov model (HMM). Experimental results show the proposed system is very effective for cell sequence segmentation, tracking and cell phase identification.

关键词： optical microscopy Image segmentation Merging Hidden Markov models Training data Biomedical optical imaging optical filters optical imaging Signal processing algorithms Fluorescence

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Knowledge-Based Multi-Spectral Pixel Level Fusion for Surveillance

Knowledge-Based Multi-Spectral Pixel Level Fusion for Survei...

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International Joint conference on Neural Networks (IJCNN)

作者： Yunqian Ma J. Rojicek Z. Beran J. Kukal M. Bazakos Honeywell Aerospace Research Laboratories Minneapolis MN USA Honeywell Prague Laboratory Prague Czech Republic Department of Computing and Control Engineering Faculty of Chemical Engineering Institute of chemical technology Prague Czech Republic

Multi-spectral fusion focused on the task of image enhancement by processing raw data collected at various electromagnetic bands via passive sensors. Passive spectral sensors collect information about the scene based on the inherently reflected or emitted energy of the scene and is represented by spectral distributions and intensities. These systems can be designed so that they provide collocated information through common optics or other means (algorithms). This paper addresses the issue of multi-spectral pixel-level fusion to enhance the visual quality of the "combined" (fused) image data as compared to that of each single spectral band image data. We propose a knowledge-based fusion methodology. We also make the implicit assumption that visually superior image data are also better image data for processing by most types of algorithms.

关键词： Surveillance Layout Image enhancement Image sensors Sensor fusion optical design Algorithm design and analysis Stimulated emission optical sensors Pixel

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Feature Matching algorithms for Machine vision Based Autonomous Aerial Refueling

Feature Matching Algorithms for Machine Vision Based Autonom...

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Mediterranean conference on Control and Automation (MED)

作者： M.L. Fravolini V. Brunori A. Ficola M. la Cava G. Campa Department of Electronic and Information Engineering University of Perugia Perugia Italy Department of Mechanical and AeroSpace Engineering West Virginia University Morgantown WV USA

In this paper a machine vision (MV) based system is proposed as distance estimation sensor to be employed by UAVs during the operations of autonomous aerial refueling. For studying this problem it was developed a simulator featuring a 3D virtual reality (VR) interface that generates the image stream of the AAR maneuver. The proposed MV algorithm performs specific tasks as image processing for features extraction, feature matching and pose estimation. The problem of tanker/UAV attitude estimation from images is investigated in two scenarios: with and without artificial markers installed on the tanker. Two feature matching algorithms are proposed and the performance of the optical feedback signal are analyzed and compared in closed loop simulations

关键词： Machine vision virtual reality Feature extraction Sensor systems Image generation Streaming media Image processing Unmanned aerial vehicles optical feedback Signal analysis

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A Simple and Effective Correction Method for Distorted Image from Camera Lens System

A Simple and Effective Correction Method for Distorted Image...

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SICE Annual conference

作者： Donghun Lee Seunghwan Choi Doeun Kim Taeyong Kuc ICon. Lab SungKyunKwan University Suwon Republic of KOREA Robot Intelligence Technology Laboratory Daejeon South Korea Robot Intelligence Technology Laboratory KAIST Daejeon Republic of KOREA School of Information and Communication Engineering SungKyunKwan University Suwon Republic of KOREA

This paper proposes a simple and effective correction method for the distortion of the picture which came from the distortion of the spherical lens and the state that real image plane and picture image plane are not horizontal. Even though there are many algorithms that corrects for the distortion of the lens, most of the algorithms are modeling lens, take a method to find a proper parameters. This demands time delay depends on the degree of modeling and the amount of calculation. In addition, most of the algorithms is processed with condition that lens is fixed in center of image and a picture image plane and a real image plane are horizontal. Thus, in a system which needs real time image processing such as movable robots, more effective and simpler algorithm is necessary because the amount of the calculation becomes problematic in system. Furthermore, when a robot in motion intent to get data on real image place, where picture plane and real image plane are not horizontal it could be a problem. Therefore, when the distortion of image which occurred from the distortion of the spherical lens, real image plane and picture plane are not horizontal, this paper suggests more effective and simpler algorithms, which corrects for the distortion of the lens with kinematics without modeling

关键词： Cameras Lenses Image processing optical distortion Robot vision systems Robot sensing systems Real time systems Kinematics Charge coupled devices Distortion measurement

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