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

共 15614 条记录，以下是4631-4640 订阅

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A GPU parallel Algorithm for image denoising based on Wavelet Transform coefficients Thresholding 14

A GPU parallel Algorithm for Image denoising based on Wavele...

引用

14th International conference on Signal image Technology & Internet Based systems (SITIS)

作者： Galletti, Ardelio Marcellino, Livia Russo, Luigi Univ Naples Parthenope Ctr Direz Dept Sci & Technol Isola C4 I-80143 Naples Italy

ISBN: (纸本)9781538693858

Denoising using Discrete Wavelet Transform is very popular in image processing. The main tasks of this kind of approach include the image decomposition into random sub-bands and the Wavelet coefficients extraction. In this paper a GPU parallel algorithm to compute and extract Wavelet coefficients is proposed. As preprocessing we use the Donoho method to study the amount of noise present in the images;while for suppression or shrinkage criterion we suggest the Garrote threshold. The selection process in this work was performed through two algorithms: Hard and Non-Negative Garrote Thresholding. Our work-frame uses a parallel approach to extract Wavelet coefficients at level of sub-bands, so that significant improvements are achieved over the CPU version, which a speedup gain of around four times with respect to the serial version. Some tests and numerical experiments show the efficiency and the quality obtained using the proposed method.

关键词： image processing DWT Domain thresholding GPU parallel computing

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Insertion Sort Circuit Design Applied on the Median Filter 5

Insertion Sort Circuit Design Applied on the Median Filter

引用

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

作者： Wu, Chang-Ming Chiang, Yu Chung Chung Yuan Christian Univ Dept Elect Engn Taoyuan Taiwan

ISBN: (纸本)9781538663011

In our paper, we proposed the insertion sort circuit of the median filter for the corrupted image. The median filter can be overcome the salt-pepper noise in the figure. We indicate the middle pixel value in a mask window of the figure to overcome the salt-pepper noise occurred. The method concept is easy and efficient. We use the Altera DE2-115 development board to verify our insertion sort circuits. We put the noise image in the SDRAM on the board, and filtered the image by the proposed circuits. In the result, we display the picture on the screen to show the processed image.

关键词： Filtering algorithms Sorting Hardware image edge detection conferences Logic gates"

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A Design Tool for High Performance image processing on Multicore Platforms

A Design Tool for High Performance Image Processing on Multi...

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Design, Automation and Test in Europe conference and Exhibition (DATE)

作者： Wu, Jiahao Blattner, Timothy Keyrouz, Walid Bhattacharyya, Shuvra S. Univ Maryland College Pk MD 20742 USA NIST Gaithersburg MD 20899 USA Tampere Univ Technol Tampere Finland

ISBN: (纸本)9783981926309

Design and implementation of smart vision systems often involve the mapping of complex image processing algorithms into efficient, real-time implementations on multicore platforms. In this paper, we describe a novel design tool that is developed to address this important challenge. A key component of the tool is a new approach to hierarchical dataflow scheduling that integrates a global scheduler and multiple local schedulers. The local schedulers are lightweight modules that work independently. The global scheduler interacts with the local schedulers to optimize overall memory usage and execution time. The proposed design tool is demonstrated through a case study involving an image stitching application for large scale microscopy images.

关键词： Task analysis Adaptation models Engines Tools Runtime Multicore processing Memory management

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Power Cabinet Door-opening State Recognition Technology Based on Edge Feature Extraction of Monocular vision

Power Cabinet Door-opening State Recognition Technology Base...

引用

IEEE International conference on Cyber Technology in Automation, Control, and Intelligent systems

作者： Jianbao Zhu Chuande Liu Yuwei Sun Yu Chen Qingshan Mal Bingtuan Gao Nantong Power Supply Company State Grid Jiangsu Electric Power Co. Ltd. Nantong Jiangsu China School of Electrical Engineering Southeast University Nanjing Jiangsu China

ISBN: (数字)9781728107707

ISBN: (纸本)9781728107714

With the increasing intelligent demand of substations, more and more machine vision technologies are applied in smart substations. This paper deals with the power cabinet door-opening state recognition based on edge feature extraction. Firstly, the substation patrol robot with machine vision is introduced, and the image acquirement and main processing flowchart including image line segment fitting of the power cabinet door-opening state is presented. Secondly, main algorithms, such as grey scale, image denoising, edge feature detection and Hough transform, used in the image feature extraction are provided. Finally, the proposed power cabinet door state recognition is implemented with real image of typical terminal box state, and the experimental results show that the proposed technology can identify the power cabinet door-opening state with accuracy as high as 99%.

关键词： Robots image edge detection Gray-scale Feature extraction Substations Transforms

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Automatic Identification and Prediction of Anatomical Points in Monocular images for Postural Assessment

Automatic Identification and Prediction of Anatomical Points...

引用

International conference on Intelligent Control and Information processing (ICICIP)

作者： Thayse Christine da Silva Marcelo Ricardo Stemmer Federal University of Santa Catarina Florianópolis Brazil

ISBN: (数字)9781728100159

ISBN: (纸本)9781728100166

The postural assessment of an individual can be related to the angles generated from the markers of two bone references, at any time during routine movements, such as walking, sitting and standing. Postural evaluation assistance systems are commonly developed from the analysis of the gait. However, in this study an algorithm was developed based on activities of sit-to-stand as these activities are pre-requisite for the other daily activities. Based on this context the objective of this study is to develop an automated algorithm to identify a group of nine anatomical landmarks, using a postural assessment protocol of the sit-to-stand and stand-to-sit activities from a lateral view, allowing the extraction of information necessary for the protocol anytime during the execution of the activity. The proposed algorithm employs digital image processing techniques such as image segmentation and the prediction of the occluded points for identification of anatomical landmarks in patients through reflective markers. The results obtained show that the algorithm has an accuracy of 95.1% for the angular values calculated from the obtained videos. The proposed algorithm assists the physical therapists in achieving a quantitative method for monitoring the evolution of the patient's posture and allows periodic reviews to be made more quickly, accurately and throughout the physiotherapeutic treatment.

关键词： videos Protocols Data mining Sensors image sensors Bones Prediction algorithms

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Conformal Ultrasound Transducer Array for image-Guided Neural Therapy

Conformal Ultrasound Transducer Array for Image-Guided Neura...

引用

IEEE Biomedical Circuits and systems conference (BioCAS) - Advanced systems for Enhancing Human Health

作者： Pashaei, vida Roman, Alex Mandal, Soumyajit Case Western Reserve Univ Dept Elect Engn & Comp Sci Cleveland OH 44106 USA

ISBN: (纸本)9781538636039

The paper discusses the design and validation of a novel wearable conformal ultrasound array with integrated imaging and modulation capabilities. A custom 64-element linear PZT array with 5 MHz resonance frequency was used for imaging. An 8-element linear array using larger PZT elements for efficient power transfer was also integrated on the wearable probe to enable image-guided neural modulation. Full-wave simulations were used to estimate the generated pressure field at various depths. Vagus nerve modulation using low intensity focused ultrasound is an important field that is targeted in this study, so the relevant focal depth (10-20 mm) was considered for both imaging and modulation array designs. A carotid artery localization algorithm was developed to easily locate the vagus nerve for imaging and modulation. A curvature estimation method based on flexible strain sensors integrated on the probe was also developed for real-time optimization of the image processing and beamforming algorithms. Preliminary measurement and characterization results of a rigid prototype show promising results with similar to 2.5 MHz bandwidth.

关键词： Transducers Modulation Ultrasonic imaging Imaging Probes Phased arrays Voltage measurement

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Autonomous vehicle control for lane and vehicle tracking by using deep learning via vision 6

Autonomous vehicle control for lane and vehicle tracking by ...

引用

6th International conference on Control Engineering and Information Technology, CEIT 2018

作者： Olgun, Masum Celil Baytar, Zakir Akpolat, Kadir Metin Koray Sahingoz, Ozgur Department of Computer Engineering Istanbul Kultur University Istanbul Turkey Computer Engineering Department Istanbul Kultur University Istanbul34158 Turkey

ISBN: (纸本)9781538676417

Camera-based lane detection and vehicle tracking algorithms are one of the keystones for many autonomous systems. The navigational process of those systems is mainly focused on the output of detection algorithms. However, detection algorithms for lane detection need more pre-processing time and computational effort. They are also affected by environmental conditions and must regularly be improved. In this paper machine learning techniques and computer vision algorithms are utilized for the tasks of the lane and vehicle tracking of an autonomous vehicle control scenario. With the nature of used learning algorithm, the proposed system can handle complex image problems. The vehicle, on which we implement our algorithms, can manage to carry out the following tasks autonomously;tracking the lanes, following another vehicle, and stopping in necessary conditions. For that, one of the primary purposes is image-based lane tracking methodology by using learning algorithms. Data augmentation is applied to create diversity for the dataset. Application in this methodology has been discussed. For lane tracking Convolutional Neural Network architecture which is based on NviDIA's PilotNet is preferred. For detecting objects and vehicles, the system is trained on the faster region-based convolutional neural network (Faster R-CNN) to identify traffic light and stop sign are by Haar Cascade Classifier. All these learning models are trained on NviDIA GTX 1070 Graphics processing Unit (GPU) to reduce training time. Experimental results showed that the proposed system gives a favorable result to autonomously control vehicles for lane and vehicle tracking purposes by vision. © 2018 IEEE.

关键词： Graphics processing unit

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A Configuration Data Multicasting Method for Coarse-Grained Reconfigurable Architectures 28

A Configuration Data Multicasting Method for Coarse-Grained ...

引用

28th International conference on Field Programmable Logic and Applications (FPL)

作者： Kojima, Takuya Amano, Hideharu Keio Univ Dept Informat & Comp Sci Yokohama Kanagawa Japan

ISBN: (数字)9781538685174

ISBN: (纸本)9781538685174

This paper proposes a novel configuration data compression technique for coarse-grained reconfigurable architectures (CGRAs). The proposed technique is based on a multicast configuration technique called RoMultiC, which reduces the configuration time by multicasting the same data to multiple PEs(processing Elements) with two bit-maps. Scheduling algorithms for an optimizing the order of multicasting have been proposed. In general, configuration data for CGRAs can be divided into some fields like machine code formats. The proposed scheme confines a part of fields for multicasting so that the possibility of multicasting more PEs can be increased. This paper analyzes algorithms to find a configuration pattern which maximizes the number of multicasted PEs. We implemented the proposed scheme to CMA (Cool Mega Array), a straight forward CGRA as a case study. Experimental results show that the proposed method achieves 40.0% smaller configuration for an image processing application at maximum. Furthermore, it achieves 35.6% reduction of the power consumption for the configuration with a negligible area overhead.

关键词： Multicast communication Multicast algorithms Arrays Power demand Parallel processing Hardware

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image Enhancement Method Based on Adaptive Fraction Gamma Transformation and Color Restoration for Wireless Capsule Endoscopy

Image Enhancement Method Based on Adaptive Fraction Gamma Tr...

引用

IEEE Biomedical Circuits and systems conference (BioCAS) - Advanced systems for Enhancing Human Health

作者： Long, Mingzhu Lan, Zehua Xie, Xiang Li, Guolin Wang, Zhihua Tsinghua Univ Inst Microelect Beijing Peoples R China Univ Elect Sci & Technol China Glasgow Coll Chengdu Sichuan Peoples R China Tsinghua Univ Grad Sch Shenzhen Shenzhen Peoples R China Tsinghua Univ Dept Elect Engn Beijing Peoples R China

ISBN: (纸本)9781538636039

Wireless capsule endoscopy (WCE) plays an important role in gastrointestinal (GI) tract observation and disease diagnosis. However, due to the limited illumination and complex environment in GI tract, endoscopic images are usually not clear enough to be interpreted by doctors or used for further processing. Although many algorithms have been proposed to improve image quality from different aspects, the balance of algorithm complexity and image quality is still a challenge worth exploring. In this paper, we propose a novel function named adaptive fraction gamma transformation (AFGT) to enhance the quality of images captured by the WCE. Characteristics of AFGT are adaptive to different luminance in an image and self-tunable to the statistical characteristics of different images. Besides, HSI color space is adopted for color restoration, namely, the saturation component is linearly scaled according to the enhanced intensity component. Experimental results show that performances of the proposed method in both visual quality and objective assessments are better than that of the state-of-art methods.

关键词： wireless capsule endoscopy image enhancement fraction gamma transformation color restoration

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video Analytics on a Mixed Network of Robust Cameras with processing Capabilities 6th

Video Analytics on a Mixed Network of <i>Robust</i> Cameras ...

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World conference on Information systems and Technologies (WorldCIST)

作者： D'Amato, Juan Pablo Perez, Alejandro Dominguez, Leonardo Rubiales, Aldo Barbuzza, Rosana Stramana, Franco Inst PLADEMA UNCPBA Campus Argentino RA-7000 Tandil Argentina Consejo Nacl Invest Cient & Tecn Av Rivadavia RA-1917 Buenos Aires DF Argentina Comis Invest Cient Calle 526 E-10 & 11 La Plata Argentina

ISBN: (纸本)9783319777023;9783319777030

Public safety is, to a greater or lesser extent, a significant concern in most modern cities. In many of these cities, video surveillance is employed to prevent and deter crime, often building systems with hundreds of cameras and sensors. Such systems proved to be effective in crime fighting and prevention, but they have high bandwidth requirements in order to bring a real-time monitoring. In countryside areas, where only low speed connections are available, the installation of such systems is not suitable and a new approach is required. In this context, this project proposes a platform based on open source libraries for video analysis techniques such as motion detection, object tracking, object classification on a low-bandwidth network. The proposed architecture is open and scalable as a result of performing image processing on the camera. These platform runs on robust distributed smart cameras that are ready for being installed in hard places. The system is prepared to deal with energy power failures;in order to increase reliability. This work describes the platform design, the smartCAM layout and components, the algorithms currently used for object tracking and classification, and exposes results regarding the efficiency of the solution.

关键词： image processing Security Surveillance Embedded systems Digital government

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