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检索条件"任意字段=2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017"

共 891 条记录，以下是381-390 订阅

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image Analysis For Single Cell Gel Electrophoresis 25

Image Analysis For Single Cell Gel Electrophoresis

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25th signal processing and Communications Applications conference (SIU)

作者： Mese, Alev Kakac Erdamar, Aykut Iseri, Ozlem Darcansoy Turkiye Ilac & Tibbi Cihaz Kurumu Ankara Turkey Baskent Univ Biyomed Muhendisligi Bolumu Ankara Turkey Baskent Univ Mol Biyol & Genet Bolumu Ankara Turkey

ISBN: (纸本)9781509064946

Detection of dioxyribonucleic acid (DNA) damage is very crucial in various areas of life sciences and in the clinical diagnosis of some pathophysiologies. Single cell gel electrophoresis, also called Comet Assay, is a reliable and easily applicable method to measure/detect level of DNA damage which is an indicator of an genotoxic and cytotoxic effect on living organisms caused by chemical and phsyical activity. The method is generally based on the fact that the DNA in the nucleus isolated from living tissues is placed in a thin agarose gel and run on an electrophoretic medium. DNA images obtained with the Comet protocol can be evaluated visually as well as can be analyzed using various software today. With such software, objective results can be obtained in a short period of time and without adhering to the researcher's experience. In this study, Comet analysis images obtained from HepG2 (ATCC HB-8065) hepatocellular carcinoma liver cancer cells were used. Calculation of measurement results of these user-selected images and presenting parametric data to the user are intended.

关键词： Comet Assay DNA Damage image Analysis Otsu Method

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LEARNING-BASED TONE MAPPING OPERATOR FOR image MATCHING 24

LEARNING-BASED TONE MAPPING OPERATOR FOR IMAGE MATCHING

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24th IEEE International conference on image processing (ICIP)

作者： Rana, Aakanksha Valenzise, Giuseppe Dufaux, Frederic Univ Paris Saclay Telecom ParisTech LTCI Paris France Univ Paris Sud CNRS Cent Supelec UMR 8506 L2S Orsay France

ISBN: (纸本)9781509021758

In this paper, we propose a new framework to optimally tone-map a high dynamic range (HDR) content for image matching under drastic illumination variations. This task is of fundamental importance for many computer vision applications. To design such a framework, we build a luminance invariant guidance model using a Support Vector Regressor (SVR) and learn it to facilitate the extraction of invariant descriptors from scenes subject to wide variety of appearance changes such as day/night transition. To this end, we initially generate appropriate training samples using a simple similarity-maximization mechanism, We then employ the learned model to predict optimal modulation maps that help to locally alter the intrinsic characteristics (such as shape, size) of the tone mapping function. We evaluate the proposed model performance in terms of matching score and mean average precision rate using state-of-the-art descriptor extraction schemes. We demonstrate that our tone mapping framework significantly outperforms the existing perceptually-driven state-of-the-art TMOs on the benchmark datasets.

关键词： Descriptor image matching High dynamic range Tone mapping operator

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design and Implementation of High Speed Gabor Filter with Variable Thresholding Process for Disease Detection 3

Design and Implementation of High Speed Gabor Filter with Va...

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3rd IEEE International conference on Sensing, signal processing and Security (ICSSS)

作者： Radhakrishnan, K. Sri, Devi Dhanalakshmi, R. Elakkiya, M. Gayathiri, G. St Peters Coll Engn & Technol Dept ECE Madras 54 Tamil Nadu India

ISBN: (纸本)9781509049295

In current scenario, there are number of skin related diseases such as tonsillitis, tumors, skin cancers, etc. which can be detected at an early stage and can be cured. For this a new idea is proposed which aims at designing a Gabor filter that makes accurate detection of diseases. We use an efficient pipelined architecture for input. image segmentation for the detection of diseases is done using Gabor filter that in turn uses shift-add CORDIC algorithm for making the designing of Gabor filter easier. In addition to this algorithm, we use a new algorithm called Variable Thresholding algorithm that sets a threshold value during the decision making period. The algorithm is named variable because, the threshold value can be varied depending upon the diseases we are going to detect. All these algorithms are written in VHDL Language in MODELSIM software, which makes the designing and decision making process more effective. This technique is also implemented on FPGA/CPLD kit that shows us the presence of disease manually through lighting of LED's. Thus the decision of disease is made more accurate and faster through this design.

关键词： Disease diagnosis Gabor filters maladjustment threshold treatment Threshold algorithms

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Effect of Thermal Resistance and scaling on dc-IV Characteristics of PCMO based RRAM Devices 75

Effect of Thermal Resistance and scaling on dc-<i>IV</i> Cha...

引用

75th Annual Device Research conference (DRC)

作者： Chouhan, S. Kumbhare, P. Khanna, A. Panwar, N. Ganguly, U. Indian Inst Technol Bombay Maharashtra India

ISBN: (纸本)9781509063284

The thermal model explains the differences in IV characteristics due to scaling and different thermal resistance. The reduced effectiveness of SET and RESET with scaling is observed. Further, thermal insulation is able to improve performance for large devices. Thus, device design based on thermal engineering considerations is essential for PCMO RRAM performance at scaled nodes. This may be especially important for 3D stacked RRAM architectures where device structure may be constrained by architectural considerations.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

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Parallel Distributed Arithmetic FIR Filter design Based on 4:2 Compressors on Xilinx FPGAs 4

Parallel Distributed Arithmetic FIR Filter Design Based on 4...

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4th IEEE International conference on signal processing, Computing and Control (ISPCC)

作者： Zhang, Xiaoqiang Tu, Le Chen, Dihu Yuan, Yuelai Huang, Kan Wang, Zixin Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781509058389

Distributed arithmetic (DA) algorithm is widely used for finite impulse response (FIR) filter implementation. In the beginning, DA was proposed as sequential DA (SDA), and then was extended to parallel DA (PDA) for higher throughput. This paper presents a novel PDA FIR filter architecture based on 4:2 compressors which can be mapped on Xilinx FPGAs efficiently. On average, our proposed FIR architectures achieve 17.5% reduction in resource usage and 20.7% improvement in performance compared to the state-of-the-art PDA FIR filter. Also, on average, there is 57.9% reduction in resource usage and 23.0% improvement in performance compared to PDA FIR filters generated by Xilinx Coregen.

关键词： distributed arithmetic (DA) FPGA FIR filter 4:2 compressor

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2017 4th International conference on signal processing, Communication and Networking, ICSCN 2017

2017 4th International Conference on Signal Processing, Comm...

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4th International conference on signal processing, Communication and Networking, ICSCN 2017

ISBN: (纸本)9781509047406

The proceedings contain 107 papers. The topics discussed include: a new denoising algorithm for random valued impulse noise in images using measures of dispersion;research of avalanche effect of the 3GPP integrity algorithm F9;a sub-band based CAC scheme using adaptive codec switching for improved capacity and GoS of cognitive VoIP users;reverse analysis of measurement and control protocol based on the monitoring state data for unmanned platform;unimodality of MBType frame different metrics for efficient key frame extraction in video;super resolution enhancement of medical image using quaternion wavelet transform with SVD;detecting DDoS attacks using decision tree algorithm;decentralized secure framework for social collaborative Internet of Things;enhancement of reconfigurable FET using gate workfunction, inter-gate length and inter-gate dielectric permittivity;design and analysis of single precision floating point multiplication using Karatsuba algorithm and parallel prefix adders;efficient cache distribution management using hash routing and nodal clustering for information centric network;underwater image enhancement based on linear image interpolation and limited image enhancer techniques;design of pentagon shaped microstrip patch antenna with metamaterial for multiband application;automatic segmentation and recognition of iris images: with special reference to twins;and spectral efficiency analysis of subcarrier and link incorporation for optimizing the resource allocation in 4G LTE cellular systems.

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Proceedings - 2017 International conference on Vision, image and signal processing, ICVISP 2017

Proceedings - 2017 International Conference on Vision, Image...

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2017 International conference on Vision, image and signal processing, ICVISP 2017

ISBN: (纸本)9781538606124

The proceedings contain 26 papers. The topics discussed include: new LMS adaptive filtering algorithm with variable step size;a self-adaptive differential evolution with dynamic selecting mutation strategy;a simplified and efficient gravitational search algorithm for unconstrained optimization problems;expediting determination of coding unit partition based on quantization parameter and frame complexity;fast compressed domain JPEG image retrieval;a new formulation for design of digital IIR band stop filters;research and implementation on face detection approach based on cascaded convolutional neural networks;real-world non-NIR illumination and wavelength-specific acquisition variants in iris recognition;panorama stitching, moving object detection and tracking in UAV videos;a kind of effective method for interference image binarization;image denoising based on the wavelet semi-soft threshold and total variation;image de-hazing based on polynomial estimation and steepest descent concept;image stitching using multiple homographies estimated by segmented regions for different parallaxes;multilevel Haar wavelet transform and histogram usage in content based image retrieval system;real-time nonlinear complementary filter on SO(3) for attitude estimation of small-scale aerial robot;an improved formula extraction method of printed Chinese layouts based on connected component run-length feature;and a method of wind velocity estimation using a tethered, spherical balloon with standard aviation sensors.

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FPGA-based Fast Rain Removal System using Orientation-Adaptive Non-local Mean Filter 4

FPGA-based Fast Rain Removal System using Orientation-Adapti...

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IEEE International conference on Consumer Electronics - Taiwan (ICCE-TW)

作者： Lin, I-An Lee, Trong-Yen Chen, Chih-Ming Liu, Shu-Yu Natl Taipei Univ Technol Dept Elect Engn Taipei Taiwan GIGA Elect Corp Sofia Bulgaria

ISBN: (纸本)9781509040179

Advanced driving assistance systems (ADAS) have developed in widespread use for traffic safety, they must include mechanisms functioning in bad weather conditions. However, the rain reduces visibility and degrade the effectiveness of computer vision algorithm when they are vision-based methods. We propose an orientation-adaptive non-local mean (OA-NLM) filter algorithm to further improve rain removal performance, removing rain streaks in images by high-performance denoising algorithm of NLM and improving computational cost using orientation-adaptive and computing module (CPM). The proposed method is implemented on a Xilinx FPGA system to improve the image processing speed. Experimental results show that the proposed method reduces 94.21% on execution time of image processing with hardware-software design.

关键词： Rain Algorithm design and analysis Field programmable gate arrays image processing Hardware Computer architecture Computer vision

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Simulation and Performance Study of MSK System Based on Single Frequency Tracker 7

Simulation and Performance Study of MSK System Based on Sing...

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7th IEEE International conference on Electronics Information and Emergency Communication (ICEIEC)

作者： ShuaiQianJun PanBiyun Jin Libiao Commun Univ China Sch Informat Engn Beijing 10024 Peoples R China Commun Univ China Sch Informat & Engn Beijing 10024 Peoples R China

ISBN: (纸本)9781509030255

Adaptive filter technology is mainly used in many different fields such as signal processing, image processing. It is a targeted filter method usually used for removing noise. This paper focuses on the adaptive filtering algorithm in the application of demodulation technology. The least mean square (LMS) algorithm is used to study the demodulation of Minimum Frequency Shift Keying (MSK) signal by adaptive filtering technology and the bit error performance is analyzed. The design uses a Single Frequency Tracker (SFT), which is used to obtain the parameters of the previous time to adjust the current parameters of the momentautomatically. Hence, it can track the frequency, phase and amplitude of the signal. In this paper, we use the single frequency tracker (SFT) to replace the band-pass filterand low-pass filter in the traditional coherent demodulation system.

关键词： single frequency tracker LMS algorithm adaptive filter MSK signal

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MSFE: BLIND image QUALITY ASSESSMENT BASED ON MULTI-STAGE FEATURE ENCODING 24

MSFE: BLIND IMAGE QUALITY ASSESSMENT BASED ON MULTI-STAGE FE...

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24th IEEE International conference on image processing (ICIP)

作者： Jiang, Qiuping Shao, Feng Jiang, Gangyi Ningbo Univ Fac Informat Sci & Engn Ningbo 315211 Zhejiang Peoples R China

ISBN: (纸本)9781509021758

Blind image quality assessment (BIQA) methods based on visual codebooks have received much attention due to its prominent generalization capacity across different image domains. Existing codebook-based BIQA methods depend on large-size codebooks and high-dimensional features, which are memory-consuming and have the risk of over fitting. Thus, it is necessary to design quality metrics with much smaller codebooks. This paper presents a novel multi-stage feature encoding (MSFE)-based BIQA method which requires much lower dimensional features while preserving comparable or even better performance. To specify, MSFE is performed over multiple cascaded and much smaller subcodebooks to generate more compact and discriminative features for quality prediction. The latter stage takes the encoding residuals in the former stage as input. We use K-SVD and sparse coding for codebook training and feature encoding in the framework, respectively. Finally, the generated sparse feature codes in all stages are combined and aggregated over the entire image for quality prediction via support vector regression (SVR). We evaluate the proposed method on several natural and screen content image databases. The experimental results confirm its superiority in terms of both validity and universality.

关键词： Blind image quality assessment (BIQA) multi-stage feature encoding (MSFE) encoding residual support vector regression (SVR)

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