发布求助
文献互助 智能选刊 最新文献

2009 International Conference on Digital Image Processing最新文献

筛选
英文 中文
An Attempt to Combine Structure and Color for Assessing Image Quality 结合结构和颜色评价图像质量的尝试
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.56
Yunyu Shi, Youdong Ding, Ranran Zhang, Jun Yu Li
{"title":"An Attempt to Combine Structure and Color for Assessing Image Quality","authors":"Yunyu Shi, Youdong Ding, Ranran Zhang, Jun Yu Li","doi":"10.1109/ICDIP.2009.56","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.56","url":null,"abstract":"The attempt to combine image structure and color information together for improving objective image quality assessment performance is introduced in this paper. Through analyzing the respective limitation of both SSIM, which focus on image structure, and CD-PSNR, which is based on S-CIELAB and works with image color only, the additive model (SAC) and the multiplicative model (SMC)are defined respectively. Our experimental results show that the proposed combined models all perform better than single method, and we could have different choices considering different purpose and the tradeoff between complexity and efficiency.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133659234","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: 3
Edge Link Detector Based Weed Classifier 基于边缘链接检测器的杂草分类器
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.64
Muhammad Hameed Siddiqi, I. Ahmad, S. Sulaiman
{"title":"Edge Link Detector Based Weed Classifier","authors":"Muhammad Hameed Siddiqi, I. Ahmad, S. Sulaiman","doi":"10.1109/ICDIP.2009.64","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.64","url":null,"abstract":"The identification and classification of weeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in shape, color and texture, weed control system is feasible. The goal of this paper is to build a real-time, machine vision weed control system that can detect weed locations. The algorithm is developed to classify images into broad and narrow class for real-time selective herbicide application. The developed algorithm based on Edge Link Detector has been tested on weeds at various locations, which have shown that the algorithm to be very effectiveness in weed identification. Further the results show a very reliable performance on weeds under varying field conditions. The analysis of the results shows over 93 % classification accuracy over 240 sample images (broad, narrow and no or little weeds) with 100 samples from broad weeds, 100 samples from narrow weeds and the remaining 40 from no or little weeds.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130460482","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
Appliance of the Digital Orthophoto Map (DOM) Technology in Urban Land Management 数字正射影像图技术在城市土地管理中的应用
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.39
Fei Ding, Wang Jun, Sizhong Wu
{"title":"Appliance of the Digital Orthophoto Map (DOM) Technology in Urban Land Management","authors":"Fei Ding, Wang Jun, Sizhong Wu","doi":"10.1109/ICDIP.2009.39","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.39","url":null,"abstract":"Abstract—this paper firstly discussed what kind of special features the application of photogrammetry in urban land management need to face. And then, analyzed that the development of the modern digital photogrammetry technology provide the possibility the DOM technology applied in the management of urban land effectively. The effective Application of DOM technology, can be achieved in urban land management information system by several aspects of technology steps and a series of technical processing, such as collecting data, correcting image, synthesizing information, etc","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129335563","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: 1
A Survey on Skeletons in Digital Image Processing 数字图像处理中的骨架研究综述
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.21
J. Lakshmi, M. Punithavalli
{"title":"A Survey on Skeletons in Digital Image Processing","authors":"J. Lakshmi, M. Punithavalli","doi":"10.1109/ICDIP.2009.21","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.21","url":null,"abstract":"An image is digitized to convert it to a form which can be stored in a computer's memory or on some form of storage media such as a hard disk or CD-ROM. Once the image has been digitized, it can be operated upon by various image processing operations like enhancement, restoration, reconstruction, compression. An image defined in the \"real world\" is considered to be a function of two real variables, for example, a(x,y) with a as the amplitude (e.g. brightness) of the image at the real coordinate position (x,y). An image may be considered to contain sub-images sometimes referred to as regions-of-interest, ROIs, or simply regions. This concept reflects the fact that images frequently contain collections of objects each of which can be the basis for a region. In a sophisticated image processing system it should be possible to apply specific image processing operations to selected regions. Thus one part of an image (region) might be processed to suppress motion blur while another part might be processed to improve color rendition. For performing image processing operations ,the basic structure called skeleton is much more essential and highly adaptive tool. Skeletons are important shape descriptors in object representation and recognition. A skeleton that captures essential topology and shape information of the object in a simple form is extremely useful in solving various problems such as character recognition, 3D model matching and retrieval, and medical image analysis. Medical imaging systems. Due to its compact shape representation, image skeleton has been studied for a long time in computer vision, pattern recognition, and optical character recognition. It is a powerful tool for intermediate representation for a number of geometric operations on solid models. Many image processing applications depend on the skeletons.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129566895","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: 42
Design Considerations for Microcontroller Based Process Control for Washing Machine 基于单片机的洗衣机过程控制的设计考虑
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.22
L. Win, Phyu Hnin Khaing, M. M. Latt
{"title":"Design Considerations for Microcontroller Based Process Control for Washing Machine","authors":"L. Win, Phyu Hnin Khaing, M. M. Latt","doi":"10.1109/ICDIP.2009.22","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.22","url":null,"abstract":"This paper describes the design considerations of microcontroller based process control for washing machine. In this paper, AT89S51 microcontroller is used to control the process of washing cycle and to drive the external output devices such as water inlet valve, wash motor, water drain valve. The control strategy program for AT89S51 microcontroller is implemented by using assembly language. The objectives of this development are to design a simple control system using low cost microcontroller, to construct the functions of system using simple control system. The main abstraction of this research is to improve control and software systems of microcontroller based process simple control system in Electronics.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125642056","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: 3
Iris Recognition Using Discrete Wavelet Transform 基于离散小波变换的虹膜识别
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.30
Lenina Birgale, M. Kokare
{"title":"Iris Recognition Using Discrete Wavelet Transform","authors":"Lenina Birgale, M. Kokare","doi":"10.1109/ICDIP.2009.30","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.30","url":null,"abstract":"We propose a novel approach for improved iris recognition system with reduced false acceptance rate (FAR) and false rejection rate (FRR). The technique developed here uses all the frequency resolution planes of Discrete Wavelet Transform (DWT). These frequency planes provide abundant texture information present in an iris at different resolutions. The accuracy is improved up to 98.98%. With proposed method FAR and FRR is reduced up to 0.0071% and 1.0439% respectively.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131606128","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: 33
A New Algorithm for Human Motion Capture via 3D Active Contours 一种基于三维活动轮廓的人体运动捕捉新算法
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.26
Chengkai Wan, Baozong Yuan, Z. Miao
{"title":"A New Algorithm for Human Motion Capture via 3D Active Contours","authors":"Chengkai Wan, Baozong Yuan, Z. Miao","doi":"10.1109/ICDIP.2009.26","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.26","url":null,"abstract":"Motion capture is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for markerless human body motion capture. We compute volume data (voxels) representation from the images using the method of SFS (shape from silhouettes). Then we match a predefined human body model with pose parameter to the volume data, and the calculation of this matching is transformed into energy function minimization. In minimizing the energy function, we use a method of 3D active contours to solve this problem. In the process of curving surface evolution, the curving surface will drive the human model close to the visual hull. On the other hand, when the human model is superposed with the human real pose, the curving surface can create a 3D human body reconstruction based on the visual hull and human model. Promising results on real images demonstrate the potentials of the presented method.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130284116","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: 0
Extraction of 3D Line Segment Using Disparity Map 利用视差图提取三维线段
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.31
Dong-Min Woo, Dong-Chul Park, Seung-Soo Han
{"title":"Extraction of 3D Line Segment Using Disparity Map","authors":"Dong-Min Woo, Dong-Chul Park, Seung-Soo Han","doi":"10.1109/ICDIP.2009.31","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.31","url":null,"abstract":"3D line segment can be regarded as one of the most useful features in constructing 3D model. In this context, this paper presents anew 3D line segment extraction method by using disparity map generated in the process of stereo matching. The core of our technique is that feature matching is carried out by the reference of the disparity evaluated by area-based stereo. Since the reference of the disparity can significantly reduce the number of feature matching combinations, feature matching error can be drastically minimized. One requirement of the disparity to be referenced is that it should be reliable to be used in feature matching. To measure the reliability of the disparity, in this paper, we employ the self-consistency of the disparity. Our suggested technique misapplied to the detection of 3D line segments by 2D line matching using our hybrid stereo matching, which can be efficiently utilized in the generation of the rooftop model from urban images.Since occlusions are occurred around the outlines of buildings, we use multi-image stereo scheme by fusing 3D line segments extracted from several pairs of stereo images. The suggested method misevaluated on Avenches data set of Ascona aerial images.Experimental results indicate that the extracted 3D line segments have an average error of 0.5m and can be efficiently used to the construction of 3D site models using a simple 3D line grouping.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133789763","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: 6
Multi-pipeline Architecture for Face Recognition on FPGA 基于FPGA的多流水线结构人脸识别
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.48
Sathaporn Visakhasart, O. Chitsobhuk
{"title":"Multi-pipeline Architecture for Face Recognition on FPGA","authors":"Sathaporn Visakhasart, O. Chitsobhuk","doi":"10.1109/ICDIP.2009.48","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.48","url":null,"abstract":"In this paper, a new multi-pipeline architecture is proposed for face recognition system on FPGA. The proposed structure consists of four main units: Multi-Pipeline Control Unit (MPCU), Process Element Unit (PEU), Region Summing Unit (RSU), and Recognition Indexing Unit (RIU). Four recognition techniques: Principal Component Analysis (PCA), Modular PCA (MPCA), Weight MPCA (WMPCA), and Wavelet based techniques are adopted to evaluate the efficiency of the proposed architecture using several standard face databases. The experimental results show that the proposed architecture helps minimizing processing time through its multi-pipeline processes while still maintains high recognition rate. Moreover, the design has encouraged the reduction in hardware resources by utilizing the proposed reusable modules.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132711785","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: 13
Using Image Deconvolution to Increase the Ability to Detect Stars and Faint Orbital Objects in CCD Imaging 利用图像反褶积提高CCD成像中对恒星和微弱轨道物体的探测能力
2009 International Conference on Digital Image Processing Pub Date : 2009-03-07 DOI: 10.1109/ICDIP.2009.12
J. Núñez, O. Fors, A. Prades
{"title":"Using Image Deconvolution to Increase the Ability to Detect Stars and Faint Orbital Objects in CCD Imaging","authors":"J. Núñez, O. Fors, A. Prades","doi":"10.1109/ICDIP.2009.12","DOIUrl":"https://doi.org/10.1109/ICDIP.2009.12","url":null,"abstract":"In this paper we show how the techniques of image deconvolution can increase the ability to detect faint stars or faint orbital objects (small satellite and space debris) in CCD images. In the case of faint stars, we show that this benefit is equivalent to double the quantum efficiency of the CCD detector or to increase the effective telescope aperture by up to 40% without decreasing the astrometric precision or introducing artificial bias. In the case of orbital objects, the deconvolution technique can double the signal to noise ratio helping to discover and control dangerous objects as space debris or lost satellites.","PeriodicalId":206267,"journal":{"name":"2009 International Conference on Digital Image Processing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117159228","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: 4
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信