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2009 IEEE International Conference on Signal and Image Processing Applications最新文献

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A comparative study on texture features used for segmentation of images rich in texture 纹理特征用于丰富纹理图像分割的比较研究
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478673
D. P. Dogra, K. Tripathy, A. K. Majumdar, S. Sural
{"title":"A comparative study on texture features used for segmentation of images rich in texture","authors":"D. P. Dogra, K. Tripathy, A. K. Majumdar, S. Sural","doi":"10.1109/ICSIPA.2009.5478673","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478673","url":null,"abstract":"A comparative study based method to select appropriate texture feature for image segmentation using K-means clustering algorithm is proposed in this paper. We study and record the performances based on three features namely, Contourlet, Gabor and Tamura. An enhanced version of Tamura feature is proposed that produces better result than the conventional one. Results of our experiment suggest that, for a given class of images, segmentation algorithm using Contourlet and Gabor with similar feature space perform equally well. On the other hand, performance of conventional Tamura feature lacks consistency but Tamura with multiple coarseness and directions improves segmentation.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133553458","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
Automatic change detection of Belum-Temengor forested area using multitemporal SAR images 基于多时相SAR图像的belumtemengor林区变化自动检测
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478668
A. Thayalan, F. S. Abas, V. Koo
{"title":"Automatic change detection of Belum-Temengor forested area using multitemporal SAR images","authors":"A. Thayalan, F. S. Abas, V. Koo","doi":"10.1109/ICSIPA.2009.5478668","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478668","url":null,"abstract":"Two C-band RADARSAT synthetic aperture radar (SAR) images are used to automatically detect changes that occured in between year 2004 and 2008 due to extensive deforestation, at Gadong River area of Belum-Temengor, Northern region of West Malaysia. Changes are detected by automatically finding the best threshold value of the standard log-ratio image that is derived from the two multitemporal SAR images. Minimum error thresholding is performed using relative entropy method. The result is validated using the difference of two Normalised Difference Vegetation Index (NDVI) images generated from two SPOT-5 images.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130515199","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
Detecting occlusion and camouflage during visual tracking 在视觉跟踪中检测遮挡和伪装
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478700
T. Chandesa, Selangor Darul, Ehsan, Malaysia T Pridmore, A. Bargiela
{"title":"Detecting occlusion and camouflage during visual tracking","authors":"T. Chandesa, Selangor Darul, Ehsan, Malaysia T Pridmore, A. Bargiela","doi":"10.1109/ICSIPA.2009.5478700","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478700","url":null,"abstract":"Visual tracking is an important scientific problem; the human visual system is capable of tracking moving objects in a wide variety of situations. It is also of considerable practical importance; many actual and potential applications of visual tracking algorithms exist in domains such as surveillance, medicine, robotics and the media. Although many effective tracking algorithms exist, occlusion and camouflage remain a common problem. These can cause a tracker to become dissociated from its target, so that the data it produces is unrelated to the target's behaviour. We focus on the detection of occlusion and camouflage during particle filter-based tracking. We use a Gaussian Mixture Model of particle distribution, extracted via the EM algorithm, to investigate the effects of occlusion and camouflage on the particle set representing a given target. The information gained from this investigation informs the design of process-behaviour chart which alerts the tracker of the occurrence of occlusion or camouflage. Data produced by the process-behaviour chart is also used to map out the boundary of the interfering object, providing valuable information about the viewed environment.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131734279","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
Influence of various transmission line models on the wavelet transformation based fault location methods 各种输电线路模型对基于小波变换的故障定位方法的影响
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478702
E. E. Ngu, R. Montano, K. Ramar, V. Cooray
{"title":"Influence of various transmission line models on the wavelet transformation based fault location methods","authors":"E. E. Ngu, R. Montano, K. Ramar, V. Cooray","doi":"10.1109/ICSIPA.2009.5478702","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478702","url":null,"abstract":"Application of Wavelet Transform to locate the fault in a transmission line is well known. In this paper a comparative study of locating different kind of faults, namely arc, open circuit, short circuit and high impedance faults on different transmission line models is presented. Effect of lossy ground condition with various soil resistivities on frequency dependent line models is also investigated. Simulation on a 400-kV power transmission system is carried out using ATP/EMTP. The current signals measured at both ends of system are utilized for the study. Wavelet Toolbox in MATLAB is used for obtaining Wavelet Transform coefficients. It is expected that understanding the behavior of the various transmission line models will help researchers to choose a right one for their study.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131793101","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: 2
Deinterlacing method based on edge direction refinement using weighted median filter 基于加权中值滤波边缘方向细化的去隔行方法
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478612
Seung-Min Jang, Ju-Hyun Park, Sung-Hoon Hong
{"title":"Deinterlacing method based on edge direction refinement using weighted median filter","authors":"Seung-Min Jang, Ju-Hyun Park, Sung-Hoon Hong","doi":"10.1109/ICSIPA.2009.5478612","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478612","url":null,"abstract":"In this paper, we propose an efficient deinterlacing algorithm which is an edge dependent interpolation based on edge direction refinement. The conventional edge dependent interpolation algorithms have a visually better performance than any other Intra-field deinterlacing algorithms. However they are very sensitive to noise due to the failure of estimating edge direction. In order to exactly detect edge direction, our method detects edge direction of around interpolated pixel and refines the edge direction using weighted median filter. Simulation results have shown the efficacy of the proposed method with significant improvement over the previous methods in terms of the objective PSNR quality as well as the subjective image quality.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131609009","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
Online body tracking by a PTZ camera in IP surveillance system IP监控系统中PTZ摄像机的在线身体跟踪
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478601
Parisa Darvish Zadeh Varcheie, G. Bilodeau
{"title":"Online body tracking by a PTZ camera in IP surveillance system","authors":"Parisa Darvish Zadeh Varcheie, G. Bilodeau","doi":"10.1109/ICSIPA.2009.5478601","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478601","url":null,"abstract":"In this paper, an online human body tracking method by an IP PTZ camera based on fuzzy-feature scoringe is proposed. Because the surveillance system uses a built-in web server, the camera control entails camera response time and network delays. Thus, the frame rate is irregular and in general low (3–7 fps). Our method has been designed specifically to perform in such conditions. At every frame, candidate targets are detected by extracting moving target using optical flow, a sampling, and appearance. The target is determined among samples using a fuzzy classifier. Results show that our system has a good target detection precision (≫ 88%), and the target is almost always localized within ¼th of the image diagonal from the image center.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121428252","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
SVM classifier for face recognition based on unconstrained correlation filter 基于无约束相关滤波的SVM人脸识别分类器
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478663
Pradipta K. Banerjee, Jayanta K. Chandra, A. K. Datta
{"title":"SVM classifier for face recognition based on unconstrained correlation filter","authors":"Pradipta K. Banerjee, Jayanta K. Chandra, A. K. Datta","doi":"10.1109/ICSIPA.2009.5478663","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478663","url":null,"abstract":"In this paper we present a novel method of face recognition technique using a combination of unconstrained correlation filter and support vector machine. The unconstrained minimum average correlation energy (UMACE) filter generates a recognition parameter based on peak to side lobe ratio (PSR). Instead of training the support vector machine by the face image for classification, the PSR values from a set of UMACE filters is used to train the SVM. The proposed technique is tested with Cropped Yale B illumination database and the method shows significant reduction in error rate compared to classical UMACE filter based technique.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114841250","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: 2
A comparison study to evaluate retinal image enhancement techniques 评价视网膜图像增强技术的比较研究
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478726
Mohammad Saleh Miri, A. Mahloojifar
{"title":"A comparison study to evaluate retinal image enhancement techniques","authors":"Mohammad Saleh Miri, A. Mahloojifar","doi":"10.1109/ICSIPA.2009.5478726","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478726","url":null,"abstract":"Retinal vessels can show different states of several diseases, making the detection of vessels in retinal images very crucial. Retinal images can be used for other applications such as ocular fundus operations and human recognition. Due to the acquisition process, these images often have low grey level contrast and dynamic range that can seriously affect diagnosis procedure results. In this paper, we present an algorithm for retinal image contrast enhancement based on the second generation of new multi-resolution analysis tool called Curvelet Transform which is faster and simpler than the first version. Curvelet transform has favorable geometric features that provide better representation of edges compare to other widely used multi-resolution tools such as Wavelet. We use a nonlinear function to modify the Curvelet coefficients based on their statistic features. Results of applying this method to a known database, DRIVE, and comparing with previous approaches, proved this method to be effective and helpful for image segmentation.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126055446","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: 20
Design and implementation of adaptive scalable streaming system over heterogeneous network 异构网络自适应可扩展流系统的设计与实现
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478725
Pik Jian Low, M.S.S. Mohd Shahrom, M. F. A. Fauzi, Mohamad Yusoff Alias, Muhammad Abdullah, Khairil Anuar, A. T. Samsudin, M. Amil, S. N. Yahya
{"title":"Design and implementation of adaptive scalable streaming system over heterogeneous network","authors":"Pik Jian Low, M.S.S. Mohd Shahrom, M. F. A. Fauzi, Mohamad Yusoff Alias, Muhammad Abdullah, Khairil Anuar, A. T. Samsudin, M. Amil, S. N. Yahya","doi":"10.1109/ICSIPA.2009.5478725","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478725","url":null,"abstract":"Distribution of multimedia content through the internet has gain popularity with the advancement of multimedia technology through software application with different transmission capabilities. Current conventional system implementation works perfectly for a guaranteed network bandwidth. However, when the packet experience losses due to drop in bandwidth, it could not preserve an acceptable video quality over the heterogeneous network. Thus, if the bandwidth could be determined in real-time, an application that controls the scalability of video stream sent over the channel can be used to control the video quality. This is done by reducing the bit-rate of the video to be sent according to current available bandwidth. In this paper, a scalable video streaming system with automate bandwidth control over heterogeneous network, using spatial scalability approach and end-to-end available bandwidth estimation are designed and implemented. Distribution of multimedia data streaming would be improved without any jitter and could fit to any devices with various performance capabilities.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126552376","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: 5
Passive range estimation by one camera using EKF and image processing 基于EKF和图像处理的单相机被动距离估计
2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI: 10.1109/ICSIPA.2009.5478616
Majid Amjadyan, M. Boroumand, M. H. Ferdowsi
{"title":"Passive range estimation by one camera using EKF and image processing","authors":"Majid Amjadyan, M. Boroumand, M. H. Ferdowsi","doi":"10.1109/ICSIPA.2009.5478616","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478616","url":null,"abstract":"This paper proposes a passive range estimator by estimating the distance between a sensor or seeker from an object. The proposed approach works based on the changes of the object size due to the changes of object distance within a scene captures by the sensor. In this method we use an Extended Kalman Filter (EKF) to estimate the size of the object (physical dimension). The estimated size of the object and the information gathered from the sensed scene over time is used to passively estimate the object range. The results show more general and extended passive range estimation (by one camera) than other methods with less relative errors.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"79 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131893357","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
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