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

共 12675 条记录，以下是4761-4770 订阅

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QUANTITATIVE STUDY OF image FEATURES OF CLUSTERED MICROCALCIFICATIONS IN FOR-PRESENTATION MAMMOGRAMS

QUANTITATIVE STUDY OF IMAGE FEATURES OF CLUSTERED MICROCALCI...

引用

IEEE International conference on image processing

作者： Juan Wang Yongyi Yang Robert M. Nishikawa Department of Electrical and Computer Engineering Illinois Institute of Technology Chicago IL 60616 USA Department of Radiology University of Pittsburgh Pittsburgh PA 15213 USA

ISBN: (纸本)9781467399623

Mammogram images are now increasingly acquired with full-field digital mammography (FFDM) systems in the clinics. Traditionally, the "for-processing" format of FFDM images is used in computer-aided diagnosis (CAD) of breast cancer. In this study, we investigate the feasibility of using "for-presentation" format of FFDM (which are more readily available) in development of CAD algorithms for microcalcification (MC) lesions. We conduct a quantitative evaluation of both the image features and the detectability of individual MCs on a set of 188 mammograms acquired in both formats. The results demonstrate that there is a high degree of agreement in the image features between the two image formats, and that a slight increase in false-positives in MC detection is observed in for-presentation images.

关键词： Lesions Feature extraction Mammography Design automation Detectors Standards Dogs

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Multi-level parallelism analysis and system-level simulation for many-core Vision processor design

Multi-level parallelism analysis and system-level simulation...

引用

Mediterranean conference on Embedded Computing (MECO)

作者： Jones Y. Mori Michael Hübner Department of Mechanical Engineering University of Brasilia Brazil Chair of Embedded Systems for Information Technology (ESIT) Ruhr-University Bochum Germany

The technology convergence and the evolution of embedded systems to multi/many-core architectures allow envisioning future cameras as many-core systems able to process complex image processing and Computer Vision (IP/CV) applications. IP/CV algorithms have natural parallelism which must be efficiently explored to meet embedded application's constraints (real-time, power consumption, silicon area, temperature management, fault tolerance, and so on). In the case of many-core architectures, the efficiency comes not only from the number and type of processing cores but how they communicate and how the memory is organized. In this work, we show a multi-level parallelism study of IP/CV algorithms/applications, analyzing how to explore the different features available in many-core architecture's design space. The analysis is performed using a high-level SystemC/TLM2.0 platform specially developed for this task. As results, we propose a hierarchical parallelism extraction, a transparent programming model and a many-core architecture template for the next generation of vision processors.

关键词： Parallel processing image edge detection Program processors Programming Computer architecture Algorithm design and analysis Space exploration

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A novel image detail preserving impulse noise removal algorithm

A novel image detail preserving impulse noise removal algori...

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IEEE International conference on Multimedia Computing and systems (ICMCS)

作者： Abhinash Kumar Jha Punjal Agarwal Gerald Schaefer Youssef Zaz Hindustan Times HT Media Limited New Delhi India The LNM Institute of Information Technology Jaipur India Department of Computer Science Loughborough University Loughborough U.K. Faculty of Sciences Abdelmalek Essaadi University Tetouan Morocco

In this paper, we introduce a novel edge directed image detail preserving impulse noise removal algorithm. Our approach is based on local image directionality features. Local edge features are analysed on both a downsampled version of the image and the noisy image, and both soft an sharp edges are considered for selective noise removal. Experimental results on a set of standard images show our technique to be effective in removing salt-and-pepper noise even at high noise levels, to yield good image quality and to outperform a number of other noise removal techniques.

关键词： image edge detection Noise measurement image restoration Noise level Signal processing algorithms Switches image denoising

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Combinatorial Energy Learning for image Segmentation 16

Combinatorial Energy Learning for Image Segmentation

引用

Annual conference on Neural Information processing systems

作者： Jeremy Maitin-Shepard Viren Jain Michal Januszewski Peter Li Pieter Abbeel UC Berkeley Google Google UC Berkeley

ISBN: (纸本)9781510838819

We introduce a new machine learning approach for image segmentation that uses a neural network to model the conditional energy of a segmentation given an image. Our approach, combinatorial energy learning for image segmentation (CELIS) places a particular emphasis on modeling the inherent combinatorial nature of dense image segmentation problems. We propose efficient algorithms for learning deep neural networks to model the energy function, and for local optimization of this energy in the space of supervoxel agglomerations. We extensively evaluate our method on a publicly available 3-D microscopy dataset with 25 billion voxels of ground truth data. On an 11 billion voxel test set, we find that our method improves volumetric reconstruction accuracy by more than 20% as compared to two state-of-the-art baseline methods: graph-based segmentation of the output of a 3-D convolutional neural network trained to predict boundaries, as well as a random forest classifier trained to agglomerate supervoxels that were generated by a 3-D convolutional neural network.

关键词： image segmentation Neural network Energy sources Neural Networks (Computer) local optimization Learning ground truth

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Design of Simulation Platform for Missile-Borne SAR Imaging

Design of Simulation Platform for Missile-Borne SAR Imaging

引用

International conference on Intelligent Human-Machine systems and Cybernetics, IHMSC

作者： Qi Chen Mingbo Zhu Xiangping Li Tao Guo Xiaohai Zou CEMEE State Key Laboratory Luoyang China Department of Electronic and Information Engineering Naval Aeronautical and Astronautical University Yantai China

ISBN: (纸本)9781509007691

Missile-borne synthetic aperture radar (SAR) imaging system is built up according to actual working principle, it uses the input data and embedded algorithms to simulate echo, then generate SAR image. Relevant algorithms is analyzed, a SAR echo simulation method based on graphic processing unit (GPU) acceleration is presented to satisfy the request of real-time. Simulation platform realized by MATLAB GUI turns out to be reliable and interactive, it can meet the demand for missile-borne SAR system test and development, and has some practical value.

关键词： Synthetic aperture radar Radar imaging Imaging Graphics processing units Missiles Scattering Computational modeling

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Automated blood vessel extraction in two-dimensional breast thermography

Automated blood vessel extraction in two-dimensional breast ...

引用

IEEE International conference on image processing

作者： Siva Teja Kakileti Krithika Venkataramani Xerox Research Center India Bangalore

In this paper, we present an automated algorithm for detection of blood vessels in 2D-thermographic images for breast cancer screening. Vessel extraction from breast thermal images help in the classification of malignancy as cancer causes increased blood flow at warmer temperatures, additional vessel formation and tortuosity of vessels feeding the cancerous growth. The proposed algorithm uses three enhanced images to detect possible vessel regions based on their intensity and shape. The final vessel detection combines these three outputs. The algorithm does not depend on the variation of pixel intensity in the images but only depends on the relative variation unlike many standard algorithms. On a dataset of over 40 subjects with high-resolution thermographic images, we are able to extract the vessels accurately with elimination of diffused heat regions. Future studies would involve extracting features from the detected vessels and using these features for classification of malignancy.

关键词： Decision support systems Biomedical imaging Cancer Computers Biology image processing

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A GPU-Accelerated SVD Algorithm, Based on QR Factorization and Givens Rotations, for DWI Denoising

A GPU-Accelerated SVD Algorithm, Based on QR Factorization a...

引用

International IEEE conference on Signal-image Technologies and Internet-Based System

作者： Livia Marcellino Guglielmo Navarra Dept. of Science and Technology University of Naples Parthenope Naples Italy

In this work, we present a parallel implementation of the Singular Value Decomposition (SVD) method on Graphics processing Units (GPUs) using CUDA programming model. Our approach is based on an iterative parallel version of the QR factorization by means Givens plane rotations using the Sameh and Kuck scheme. The parallel algorithm is driven by an outer loop executed on the CPU. Therefore, threads and blocks configuration is organized in order to use the shared memory and avoid multiple accesses to global memory. However, the main kernel provides coalesced accesses to global memory using contiguous indices. As case study, we consider the application of the SVD in the Overcomplete Local Principal Component Analysis (OLPCA) algorithm for the Diffusion Weighted Imaging (DWI) denoising process. Our results show significant improvements in terms of performances with respect to the CPU version that encourage its usability for this expensive application.

关键词： Matrix decomposition Graphics processing units Central processing Unit Noise reduction Principal component analysis Parallel algorithms image processing

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HD Qatari ANPR system

HD Qatari ANPR system

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International conference on Computer systems and Industrial Informatics (ICCSII)

作者： Omar Hommos Abdulhadi Al-Qahtani Ali Farhat Ali Al-Zawqari Faycal Bensaali Abbes Amira Xiaojun Zhai College of Engineering Qatar University Doha Qatar Qatar University Doha Ad Dawhah QA Department of Computing and Mathematics University of Derby Derby UK University of Derby Derby Derby GB

Recently, Automatic Number Plate Recognition (ANPR) systems have become widely used in safety, security, and commercial aspects. The whole ANPR system is based on three main stages: Number Plate Localization (NPL), Character Segmentation (CS), and Optical Character Recognition (OCR). In recent years, to provide better recognition rate, High Definition (HD) cameras have started to be used. However, most known techniques for standard definition are not suitable for real-time HD image processing due to the computationally intensive cost of localizing the number plate. In this paper, algorithms to implement the three main stages of a high definition ANPR system for Qatari number plates are presented. The algorithms have been tested using MATLAB and two databases as a proof of concept. Implementation results have shown that the system is able to process one HD image in 61 ms, with an accuracy of 98.0% in NPL, 99.75% per character in CS, and 99.5% in OCR.

关键词： High definition video Optical character recognition software image segmentation Character recognition Classification algorithms Morphological operations Gray-scale

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OCR based feature extraction and template matching algorithms for Qatari number plate

OCR based feature extraction and template matching algorithm...

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International conference on Computer systems and Industrial Informatics (ICCSII)

作者： Ali Farhat Ali Al-Zawqari Abdulhadi Al-Qahtani Omar Hommos Faycal Bensaali Abbes Amira Xiaojun Zhai College of Engineering Qatar University Doha Qatar Department of Computing and Mathematics University of Derby Derby UK

There are several algorithms and methods that could be applied to perform the character recognition stage of an automatic number plate recognition system; however, the constraints of having a high recognition rate and real-time processing should be taken into consideration. In this paper four algorithms applied to Qatari number plates are presented and compared. The proposed algorithms are based on feature extraction (vector crossing, zoning, combined zoning and vector crossing) and template matching techniques. All four proposed algorithms have been implemented and tested using MATLAB. A total of 2790 Qatari binary character images were used to test the algorithms. Template matching based algorithm showed the highest recognition rate of 99.5% with an average time of 1.95 ms per character.

关键词： Optical character recognition software Feature extraction Character recognition image segmentation Algorithm design and analysis Testing Classification algorithms

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Vectorization and Optimization of Fog Removal Algorithm

Vectorization and Optimization of Fog Removal Algorithm

引用

IEEE International Advance Computing conference, IACC

作者： Krishna Swaroop Gautam Abhishek Kumar Tripathi M.V. Srinivasa Rao Uurmi Solutions Pvt. Ltd. Hyderabad India

ISBN: (纸本)9781467382878

Some of the image processing algorithms are verycostly in terms of operations and time. To use these algorithmsin real-time environment, optimization and vectorization arenecessary. In this paper, approaches are proposed to optimize, vectorize and how to fit the algorithm in low memory space. Here, optimized anisotropic diffusion based fog removal algorithm isproposed. Fog removal algorithm removes the fog from imageand produces an image having better visibility. This algorithmhas many phases like anisotropic diffusion, histogram stretchingand smoothing. Anisotropic diffusion is an iterative process thattakes nearly 70% of time complexity of the whole algorithm. Here, optimization and vectorization of the anisotropic diffusion is proposed for better performance. However, optimizationtechniques cost some accuracy but that can be neglected forsignificant improvement in performance. For memory constraintenvironment, a method is proposed to process the entire blockof image and maintains the integrity of operations. Resultsconfirm that with our optimization and vectorization approaches, performance is increased up to 90 fps (approximately) for VGAimage on one of the image processing DSP simulator. Even if, system doesn't have vector operations, the proposed optimizationtechniques can be used to achieve better performance (2× faster).

关键词： Optimization Anisotropic magnetoresistance Signal processing algorithms Histograms Smoothing methods Real-time systems image restoration

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