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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems IV"

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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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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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Effect of temporal and spatial noise on the performance of hardware oriented background extraction algorithms

Effect of temporal and spatial noise on the performance of h...

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Annual IEEE Northeast Workshop on Circuits and systems (NEWCAS)

作者： D. García-Lesta V.M. Brea P. López D. Cabello Centro Singular de Investigación en Tecnoloxías da Información (CiTIUS) Santiago de Compostela Spain

ISBN: (纸本)9781509049929

Background extraction is a fundamental task present in most computer vision applications such as video surveillance, optical motion capture or multimedia applications. In this paper we explore a particular foreground segmentation method based on the well-known Pixel-based Adaptive Segmenter (PBAS) algorithm, proposing modifications that will ease the hardware implementation. Also, the figures of merit of a focal-plane approach for foreground segmentation are studied through the impact of typical temporal and spatial noise sources present in the processing elements of smart image sensors such as leakage currents from analog memories or fixed pattern noise (FPN) from mismatch.

关键词： Algorithm design and analysis Leakage currents Heuristic algorithms Mathematical model Pipelines image segmentation image sensors

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Fast HEVC intra coding decision based on statistical cost and corner detection

Fast HEVC intra coding decision based on statistical cost an...

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International conference on systems, Signals and image processing, IWSSIP

作者： Biao Min Zhe Xu Ray C. C. Cheung Department of Electronic Engineering City University of Hong Kong Kowloon Hong Kong

ISBN: (纸本)9781509063451

As the successor of H.264, High Efficient Video Coding (HEVC) standard includes various novel techniques, including Coding Tree Unit (CTU) structure and additional angular modes used in intra coding. These new techniques promote the coding efficiency on one hand, while increasing the computational complexity significantly on the other hand. In this paper, we propose a fast intra block partitioning algorithm for HEVC to reduce the coding complexity, based on the statistical cost and corner detection algorithm. A block is considered as a multiple gradients region which will be split into multiple small ones, as the corner points are detected inside the block. A block without corner points existing is treated as being non-split when its RD cost is small according the statistics of the previous frames. The proposed fast algorithm achieves nearly 63% encoding time reduction with 3.42%, 2.80%, and 2.53% BD-Rate loss for Y, U, and V components, averagely. The experimental results show that the proposed method is efficient to fast decide the block partitioning in intra coding of HEVC, even though only static parameters are applied to all test sequences.

关键词： Copper image coding Complexity theory Partitioning algorithms Encoding image edge detection Mathematical model

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A Duality Theorem for the Discrete Sine Transform - iv (DST - iv) 3

A Duality Theorem for the Discrete Sine Transform - IV (DST ...

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3rd International conference on Advanced Computing and Communication systems (ICACCS)

作者： Madhukar, B. N. Jain, Sanjay New Horizon Coll Engn ECE Dept Bangalore 560103 Karnataka India

ISBN: (纸本)9781467392068

This paper presents a new property called the Duality Theorem for the Discrete Sine Transform - iv (DST - iv). Discrete Sine Transform - iv is a finite duration discrete transform. This transform is mathematically related to the famous Discrete Fourier Transform (DFT) and is used in image processing applications, but it is surprising that it has escaped attention from pure mathematicians. Most of the properties of the Discrete Sine Transform - iv are quite similar to those of the DFT and Discrete Cosine Transform (DCT) although some differences persist. A formal derivation of the Duality Theorem for the Discrete Sine Transform - iv is presented which was hitherto not mentioned or derived in the literature. The Duality Theorem finds application in the computation of the discrete time - domain function from the DST - iv frequency domain and vice versa thereby reducing considerable labour involved in the evaluation of the summation and thus results in the saving of computation time and implementation cost significantly. Its usage can be successfully exploited in the arenas of Signal processing, image processing, and Communication systems, where it is common to encounter cases involving the discrete time and the discrete frequency signals to have the same aspect or resemblance.

关键词： duality kernel sine unitary

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Structural Analysis of Protein Complexes by Cryo Electron Microscopy

Structural Analysis of Protein Complexes by Cryo Electron Mi...

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作者： Tiago R. Costa Athanasios Ignatiou Elena V. Orlova

Structural studies of biocomplexes using single-particle cryo-electron microscopy (cryo-EM) is now a well-established technique in structural biology and has become competitive with X-ray crystallography. The latest advances in EM enable us to determine structures of protein complexes at 3–5 Å resolution for an extremely broad range of sizes from ~200 kDa up to hundreds of megadaltons (Bartesaghi et al., Science 348(6239):1147–1151, 2051; Bai et al., Nature 525(7568):212–217, 2015; Vinothkumar et al., Nature 515(7525):80–84, 2014; Grigorieff and Harrison, Curr Opin Struct Biol 21(2):265–273, 2011). The majority of biocomplexes comprise a number of different components and are not amenable to crystallisation. Secretion systems are typical examples of such multi-protein complexes, and structural studies of them are extremely challenging. The only feasible approach to revealing their spatial organisation and functional modification is cryo-EM. The development of systems for digital registration of images and algorithms for the fast and efficient processing of recorded images and subsequent analysis facilitated the determination of structures at near-atomic resolution. In this review we will describe sample preparation for cryo-EM, how data are collected by new detectors, and the logistics of image analysis through the basic steps required for reconstructions of both small and large biological complexes and their refinement to nearly atomic resolution. The processing workflow is illustrated using examples of EM analysis of a Type iv Secretion System. less

关键词： Cryo-EM Single Particle Analysis image processing Electron Microscopy (EM) X-ray Crystallography Crystallization image Analysis single-particle cryo-electron microscopy Sample preparation Type iv secretion system

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Flexible image processing in Embedded systems using Multi-agents systems

Flexible image processing in Embedded Systems using Multi-ag...

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14th IFAC conference on Programmable Devices and Embedded systems (PDES)

作者： Inguere, Tifaine Carlier, Florent Renault, Valerie Univ Maine CREN Le Mans France STMicroelectronics Le Mans France

Efficient image processing can lead to complex algorithms. In resources are limited and the approach of linear algorithm does not allow to decrease complexity regarding the variations of these resources availability. Agents are autonomous entities brought together into systems. They interact between them and with their environment to perform tasks. interactions allow them to share knowledge and capacities in order to adapt themselves to a changing context. In this paper we propose to use Multi-agents systems algorithms to perform flexible image processing in an Embedded context. We will introduce our hardware context and the architecture choices made to adapt Multi -agents systems to the Embedded field. We will then present an experiment focusing on pixel interpolation process to study the flexibility of our solution. (C) 2016, IFAC (International Fedaration of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Embedded systems Resource allocation Management systems Multi-agents systems image processing

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