Real-Time Imaging最新文献_第8页

Real-time image processing with a compact FPGA-based systolic architecture 实时图像处理与一个紧凑的fpga为基础的收缩架构

Real-Time Imaging Pub Date : 2004-06-01 DOI: 10.1016/j.rti.2004.06.001

César Torres-Huitzil, Miguel Arias-Estrada

{"title":"Real-time image processing with a compact FPGA-based systolic architecture","authors":"César Torres-Huitzil, Miguel Arias-Estrada","doi":"10.1016/j.rti.2004.06.001","DOIUrl":"10.1016/j.rti.2004.06.001","url":null,"abstract":"<div><p><span><span><span>In this paper, a configurable systolic architecture on a chip for real-time window-based image processing<span> is presented. The architecture was specially designed to implement efficiently, both in performance and hardware resource utilization, window-based image operators under real-time constraints. The computational core of the architecture is a configurable 2D systolic array of processing elements, which can provide throughputs over tenths of Giga Operations per Second (GOPs). The architecture employs a novel-addressing scheme that significantly reduces the memory access overhead and makes explicit the </span></span>data parallelism at a low temporal storage cost. A specialized processing element, called Configurable Window Processor (CWP), was designed to cover a broad range of window-based image algorithms. The functionality of the CWPs can be modified through configuration registers according to a given application. For a current </span>Field Programmable Gate Array (FPGA) prototype of a 7×7 systolic array, the architecture provides a throughput of 3.16</span>   <span>ms. The implemented window-based image operators include generic image convolution, gray-level image morphology and template matching. According to theoretical and experimental results, the architecture compares favorably with other dedicated architectures in terms of performance and hardware resource utilization.</span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 3","pages":"Pages 177-187"},"PeriodicalIF":0.0,"publicationDate":"2004-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.06.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79246238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 53

A distributed system for computer vision quality control of clinched boards 一种用于锁紧板计算机视觉质量控制的分布式系统

Real-Time Imaging Pub Date : 2004-06-01 DOI: 10.1016/j.rti.2004.05.001

P. Bellini, I. Bruno, P. Nesi

{"title":"A distributed system for computer vision quality control of clinched boards","authors":"P. Bellini, I. Bruno, P. Nesi","doi":"10.1016/j.rti.2004.05.001","DOIUrl":"10.1016/j.rti.2004.05.001","url":null,"abstract":"<div><p><span>Clinching technology allows to join metal sheets by using a cold press. The quality control of joint points, a type of joint buttons, is performed by experts observing the shape of the joint button on the basis of their experience. VISICON IST Research and Development project (partially funded by the European Commission) has realized algorithms and a distributed quality control system for assessing in real time the production of clinched galvanized metal boards. The solution is based on computer vision<span>, software engineering, process modeling, and knowledge representation through object-oriented modeling. The image processing algorithm is based on the </span></span><em>G</em> Transform. The transform presents interesting properties and is computationally cheap. The VISICON solution has been validated by using a large set of data and statistical analysis for the detection of joint buttons and for their quality assessment. The paper reports a description of the distributed real-time architecture of the VISICON computer based quality control system, the main aspects of the computer vision processing for quality assessment and the results of the validation phase.</p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 3","pages":"Pages 161-176"},"PeriodicalIF":0.0,"publicationDate":"2004-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.05.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76959175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Real-time motion segmentation from moving cameras 移动摄像机的实时运动分割

Real-Time Imaging Pub Date : 2004-06-01 DOI: 10.1016/j.rti.2004.03.002

Rita Cucchiara, Andrea Prati, Roberto Vezzani

引用次数: 33

Real-time face detection and tracking for mobile videoconferencing 用于移动视频会议的实时人脸检测和跟踪

Real-Time Imaging Pub Date : 2004-04-01 DOI: 10.1016/j.rti.2004.02.004

Stavros Paschalakis, Miroslaw Bober

{"title":"Real-time face detection and tracking for mobile videoconferencing","authors":"Stavros Paschalakis, Miroslaw Bober","doi":"10.1016/j.rti.2004.02.004","DOIUrl":"https://doi.org/10.1016/j.rti.2004.02.004","url":null,"abstract":"<div><p><span>This paper addresses the issue of face detection and tracking in the context of a mobile videoconferencing application. While the integration of such technology into a mobile videophone is advantageous, allowing face stabilization, reduced bandwidth requirements and smaller display sizes, its deployment in such an environment may not be straightforward, since most face detection methods reported in the literature assume at least modest processing capabilities and memory and, usually, floating-point capabilities. The face detection and tracking method which is presented here achieves high performance, robustness to </span>illumination variations<span><span> and geometric changes, such as viewpoint and scale changes, and at the same time entails a significantly reduced computational complexity. Our method requires only integer operations and very small amounts of memory, of the order of a few hundred bytes, facilitating a real-time implementation on small microprocessors or custom hardware. In this context, this paper will also examine an </span>FPGA implementation of the proposed algorithmic framework which, as will be seen, achieves extremely high frame processing rates at low clock speeds.</span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 2","pages":"Pages 81-94"},"PeriodicalIF":0.0,"publicationDate":"2004-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.02.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91636606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 30

Real-time image filtering scheme based on robust estimators in presence of impulsive noise 脉冲噪声下基于鲁棒估计的实时图像滤波方案

Real-Time Imaging Pub Date : 2004-04-01 DOI: 10.1016/j.rti.2004.02.002

Francisco J. Gallegos-Funes , Volodymyr I. Ponomaryov

引用次数: 60

A fast automatic VOP generation using boundary block segmentation 使用边界块分割快速自动生成VOP

Real-Time Imaging Pub Date : 2004-04-01 DOI: 10.1016/j.rti.2004.02.006

Beung-Chan Kim, Rae-Hong Park

{"title":"A fast automatic VOP generation using boundary block segmentation","authors":"Beung-Chan Kim, Rae-Hong Park","doi":"10.1016/j.rti.2004.02.006","DOIUrl":"https://doi.org/10.1016/j.rti.2004.02.006","url":null,"abstract":"<div><p><span>With the increase of multimedia applications and content-based functionalities, efficient video coding methods are necessary. The moving picture experts group-4 (MPEG-4) provides content-based functionalities by introducing the concept of the </span>video object plane (VOP). Each frame of the input sequence is segmented into a number of arbitrarily shaped image regions or VOP's so that each VOP describes a semantically meaningful object or video content of interest.</p><p>For real-time applications of MPEG-4, a fast automatic object segmentation method<span> of video sequences is needed. We propose a fast automatic VOP generation algorithm composed of two parts: object block segmentation and boundary block segmentation. The former defines block-based object regions in a frame and the latter generates the pixel-based object mask. Block-based object region search and restriction of segmentation regions to boundary blocks reduce a computational load. Experimental results with two test sequences show the effectiveness of the proposed algorithm in terms of the visual quality of segmentation results and the computation time.</span></p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 2","pages":"Pages 117-125"},"PeriodicalIF":0.0,"publicationDate":"2004-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.02.006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91636604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Novel full-search schemes for speeding up image coding using vector quantization 利用矢量量化加速图像编码的新颖全搜索方案

Real-Time Imaging Pub Date : 2004-04-01 DOI: 10.1016/j.rti.2004.02.003

Chin-Chen Chang, Iuon-Chang Lin

引用次数: 8

Real time contour tracking with a new edge detector 实时轮廓跟踪与一种新的边缘检测器

Real-Time Imaging Pub Date : 2004-04-01 DOI: 10.1016/j.rti.2004.02.005

V. Gemignani , M. Paterni , A. Benassi , M. Demi

{"title":"Real time contour tracking with a new edge detector","authors":"V. Gemignani , M. Paterni , A. Benassi , M. Demi","doi":"10.1016/j.rti.2004.02.005","DOIUrl":"https://doi.org/10.1016/j.rti.2004.02.005","url":null,"abstract":"<div><p><span>In this paper, a new system for real time contour tracking is presented. If a rough contour of the desired structure is available on the first image of a sequence, the system can automatically outline the contours on the subsequent images at video rate. The method we used is based on a new edge detector which was obtained by the generalization of the first order absolute central moment operator. The new algorithm proved to be very robust to noise and fast enough to be implemented in real time. The contour tracking procedure was implemented on an integrated software/hardware platform composed of a personal computer equipped with a digital signal processing board. The system can capture an analog video signal with a resolution of 512×512 pixels, 25</span> <!-->frames/s, process the data and display the results in real time. A graphical user interface is also available to interact with the system. Tests on images of the descending thoracic aorta and of a carotid, recorded by echocardiography, are reported. The cross-sectional area of the aorta and the diameter of the carotid were computed in real time and plotted on the user interface. The system proved to be a useful tool for the investigation of vascular mechanisms.</p></div>","PeriodicalId":101062,"journal":{"name":"Real-Time Imaging","volume":"10 2","pages":"Pages 103-116"},"PeriodicalIF":0.0,"publicationDate":"2004-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.rti.2004.02.005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91635798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Real time contour tracking with a new edge detector 实时轮廓跟踪与一种新的边缘检测器

Real-Time Imaging Pub Date : 2004-04-01 DOI: 10.1016/j.rti.2004.02.005

V. Gemignani, M. Paterni, A. Benassi, M. Demi

引用次数: 18

A fast automatic VOP generation using boundary block segmentation 使用边界块分割快速自动生成VOP

Real-Time Imaging Pub Date : 2004-04-01 DOI: 10.1016/j.rti.2004.02.006

Beung-Chan Kim, Rae-Hong Park

引用次数: 8