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Color removal method based on signed color distance and nonlinear projection

Color removal method based on signed color distance and nonl...

引用

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

作者： Go Tanaka Noriaki Suetake Eiji Uchino Graduate School of Science and Engineering Yamaguchi University Yamaguchi Japan

In the typical photo re-touching software, in order to convert a color image into a monochrome one, only luminance components of the color image are extracted, and are used to represent the monochrome image. This luminance extraction is useful and enough for obtaining a monochrome image in most cases. However, saliencies of the image included only in the chrominance components are not preserved at all. In this study, we propose a new color removal method that takes difference of the chrominance into account in addition to luminance of an image. The effectiveness of the proposed method is verified by applying it to some images.

关键词： Color image converters signal processing Communication system software Sun Reflection Optimization methods computational complexity Smart pixels

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Editorial

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ieee SYSTEMS JOURNAL 2017年第1期11卷 3-3页

作者： Piuri, Vincenzo Univ Milan Dept Comp Sci I-26013 Crema Italy

Presents the introductory editorial for this issue of the publication.

关键词： Electrical engineering

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Super-resolution images by support vector regression on edge pixels

Super-resolution images by support vector regression on edge...

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

作者： Tsz-Chun Ho Bing Zeng Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

Support vector machine (SVM) is a statistical learning algorithm that is capable of estimating high-dimensional functions. Recently, support vector regression (SVR) - the use of SVM for regression - has been used to generate super-resolution images. In this paper, we propose to apply the SVR algorithm on edge pixels only so as to reduce the emboss effect that would appear in the edge region of an enlarged image if the SVR is applied on the entire input image. Such a modification is naturally motivated by the principle that human perception is mainly focusing on edge regions. Doing so can also reduce the overall time consumed during the training process and makes the enlarged image looking more pleasant perceptually.

关键词： image resolution Pixel image edge detection signal processing algorithms Support vector machines signal resolution Interpolation image generation Machine intelligence signal processing

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A Framework for Discrete Modeling of Juxtacrine signaling Systems

A Framework for Discrete Modeling of Juxtacrine Signaling Sy...

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

作者： Luiz C. S. Rozante Marco D. Gubitoso Sergio R. Matioli Department of Computer Science Imes University Brazil Institute of Mathematics and Statistics University of Sao Paulo Brazil Institute of Biosciences University of Sao Paulo Brazil

Juxtacrine signaling is intercellular communication, in which the receptor of the signal (typically a protein) as well as the ligand (also typically a protein, responsible for the activation of the receptor) are anchored in the plasma membranes, so that in this type of signaling the activation of the receptor depends on direct contact between the membranes of the cells involved. Juxtacrine signaling is present in many important cellular events of several organisms, especially in the development process. We propose a generic formal model (a modeling framework) for juxtacrine signaling systems that is a class of dynamic discrete systems. It possesses desirable characteristics in a good modeling framework, such as: a) structural similarity with biological models, b) capacity of operating in different scales of time and c) capacity of explicitly treating both the events and molecular elements that occur in the membrane, and those that occur in the intracellular environment and are involved in the juxtacrine signaling process. We implemented this framework and used to develop a new discrete model for the neurogenic network and its participation in neuroblast segregation

关键词： Communication system signaling Biomembranes Proteins Biological system modeling Mathematical model signal processing Cells (biology) Production computational intelligence Bioinformatics

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A Human Gait Analyzer

A Human Gait Analyzer

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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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P1A-11 Non-Linear Effects of signal to image Mapping in Voxel-Driven SAFT Based Reconstruction Approaches

P1A-11 Non-Linear Effects of Signal to Image Mapping in Voxe...

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ieee symposium (IUS) Ultrasonics

作者： M. Zapf G. F. Schwarzenberg M. Karl N. V. Ruiter Institute for Data Processing and Electronics Forschungszentrum Karlsruhe GmbH (FZK) Karlsruhe Germany

For our current 3D demonstrator system for ultrasound computer tomography (USCT) a synthetic aperture based image reconstruction is implemented whose calculation time is in the order of days. Faster approximations might lead to large errors for our USCT setup which uses many multistatic emitter-receiver combinations. The aim of this work is the analysis of non-linear signal to image mapping for a cylindrical aperture and quantify the errors of computational less complex approximations. Four approaches with increasing computational complexity were implemented, tested with the cylindrical setup and compared to a commonly used linear transducer setup. For the linear aperture the second approximation leads to satisfying results. For the more diverging USCT setup a more accurate approximation is needed: the third approximation, which is still less computational expensive as the ground-truth implementation, gives satisfying results.

关键词： signal mapping image reconstruction Apertures Ultrasonic imaging Tomography Computer errors image analysis signal analysis computational complexity Testing

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SPARSE signal AND image RECOVERY FROM COMPRESSIVE SAMPLES

SPARSE SIGNAL AND IMAGE RECOVERY FROM COMPRESSIVE SAMPLES

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ieee International symposium on Biomedical Imaging

作者： Emmanuel Candes Nathaniel Braun Michael Wakin Applied and Computational Mathematics California Institute of Technology USA

ISBN: (纸本)9781424406715;1424406714

In this paper we present an introduction to compressive sampling (CS), an emerging model-based framework for data acquisition and signal recovery based on the premise that a signal having a sparse representation in one basis can be reconstructed from a small number of measurements collected in a second basis that is incoherent with the first. Interestingly, a random noise-like basis will suffice for the measurement process. We will overview the basic CS theory, discuss efficient methods for signal reconstruction, and highlight applications in medical imaging

关键词： image coding image reconstruction signal sampling Wavelet transforms Wavelet coefficients image sampling Data acquisition Noise measurement Fourier transforms signal processing

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Monocular SLAM for Visual Odometry

Monocular SLAM for Visual Odometry

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ieee International symposium on Intelligent signal processing

作者： Rodrigo Munguia Antoni Grau Department of Automatic Control Technical University of Catalonia UPC Barcelona Spain

ISBN: (纸本)1424408296;97

The ego-motion online estimation process from a video input is often called visual odometry. Typically optical flow and structure from motion (SFM) techniques have been used for visual odometry. Monocular simultaneous localization and mapping (SLAM) techniques implicitly estimate camera ego-motion while incrementally build a map of the environment. However in monocular SLAM, when the number of features in the system state increases, the computational cost grows rapidly; consequently maintaining frame rate operation becomes impractical. In this paper monocular SLAM is proposed for map-based visual odometry. The number of features is bounded removing features dynamically from the system state, for maintaining a stable processing time. In the other hand if features are removed then previous visited sites can not be recognized, nevertheless in an odometry context this could not be a problem. A method for feature initialization and a simple method for recovery metric scale are proposed. The experimental results using real image sequences show that the scheme presented in this paper is promising.

关键词： Simultaneous localization and mapping Cameras image motion analysis Robot vision systems computational efficiency Optical sensors Motion estimation Uncertainty Predictive models image sequences

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Fast and efficient MRF-based blotch detection algorithm for degraded film sequences

Fast and efficient MRF-based blotch detection algorithm for ...

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

作者： Sang-Churl Nam Masahide Abe Masayuki Kawamata Department of Electronic Engineering Graduate School of Engineering University of Tohoku Sendai Japan

This paper proposes an efficient blotch detection algorithm based on a Markov Random Field (MRF) model with less computational complexity and with lower false alarm rate than the existing MRF-based blotch detection algorithms. In our algorithm, by restricting the attention of the detection process only to the candidate blotch detection areas, our proposed algorithm can save the computational time for detecting the blotches. The problem of the confusion with the blotches is frequently seen in the vicinity of the moving object due to the poorly estimated motion vectors. To solve the problem, we first find the moving edge pixels using the significant test between the forward and backward motion-compensated frames, and then incorporate the weighting function with respect to the detected moving edge pixels into the MRF model. Experimental result shows that our proposed method provides the computational simplicity and an efficient detecting performance for the blotches.

关键词： Detection algorithms Degradation image restoration Detectors signal processing algorithms Markov random fields image edge detection Motion pictures image sequences computational efficiency

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A Multi-layer neural network and an adaptive linear combiner for on-line harmonic tracking

A Multi-layer neural network and an adaptive linear combiner...

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ieee International symposium on Intelligent signal processing

作者： Abdelaziz Zouidi Farhat Fnaiech Kamal Al-Haddad Equipe de recherche: Signal Image et Commande Intelligente des Systemes Industriels Université de Tunis Ecole Supérieure des Sciences et Techniques de Tunis Tunis Tunisia Canada Research Chair in Energy Conversion and Power Electronics CRC-ECPE Ecole de Technologie Superieure Montreal QUE Canada

ISBN: (纸本)1424408296;97

Intelligent techniques of harmonic detection or estimation are nowadays of a great interest in power system applications, their ability to deal with high non-linearities attract researchers to investigate the performance of these methods mainly based on artificial intelligence namely using artificial neural networks. In the literature many harmonic detection or estimation methods were presented, in this paper we focus on a new idea to apply an adaptive linear neuron (ADALINE) and a multi-layer artificial neural net work (M-LANN) to estimate the fundamental component and the total harmonic content of a distorted signal.

关键词： Multi-layer neural network Adaptive systems Power harmonic filters Power system harmonics Artificial neural networks Artificial intelligence Harmonic distortion Neurons Intelligent networks Adaptive signal detection

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