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2010 IEEE 18th Signal Processing and Communications Applications Conference最新文献

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Content based medical image retrieval feature extraction of using statistical spatial methods for content based medical image retrieval 基于内容的医学图像检索采用统计空间方法提取特征，用于基于内容的医学图像检索
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5650320
B. Ergen, M. Baykara
{"title":"Content based medical image retrieval feature extraction of using statistical spatial methods for content based medical image retrieval","authors":"B. Ergen, M. Baykara","doi":"10.1109/SIU.2010.5650320","DOIUrl":"https://doi.org/10.1109/SIU.2010.5650320","url":null,"abstract":"However medical image archives are widely used, these archives are based on textual query. Recently, it is obtained successfully results in general purpose image archiving using content based image retrieval systems. Therefore, it has also began studying on content based retrieval in medical image archiving. In this study, it is investigated performances of features obtained from gray level co-occurrence matrix and wavelet transform for content based medical image retrieval. Finally, that it can be obtained using both methods is exposed.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129276791","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
Using shape priors for improved lip segmentation 利用形状先验改进唇形分割
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5652772
M. Yilmaz, Hakan Erdogan, M. Unel
{"title":"Using shape priors for improved lip segmentation","authors":"M. Yilmaz, Hakan Erdogan, M. Unel","doi":"10.1109/SIU.2010.5652772","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652772","url":null,"abstract":"Lip segmentation is an important problem which is necessary to be solved in many applications, especially in audio-visual speech recognition. In this paper, a level-set based method that utilizes adaptive color distributions and shape priors for lip segmentation is introduced. More precisely, an implicit curve representation which learns the color information of lip and non-lip points and shape information of lip regions from a training set is employed. The model can adapt itself to the image of interest using a coarse elliptical region. Extracted lip contour provides detailed information about the lip shape. We show that using shape priors improve the segmentation performance, especially the recall rate.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129445433","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
Improved rising sun reticle 改进的旭日线
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5650326
M. C. Sahingil, Seckin Ozsarac, Murat Akgul
{"title":"Improved rising sun reticle","authors":"M. C. Sahingil, Seckin Ozsarac, Murat Akgul","doi":"10.1109/SIU.2010.5650326","DOIUrl":"https://doi.org/10.1109/SIU.2010.5650326","url":null,"abstract":"Determination of the radial position of a target is a well-known problem encountered in rising sun spin scan reticles. The variants of the rising sun reticle in the literature can extract the radial position of the target with limited resolution in discrete intervals. In this paper a new reticle pattern, which is an alternative to the spin scan reticles that are used on the seekers of infrared guided missiles is proposed. The proposed reticle scheme provides the extraction of both angular and radial positions of the target in a continuous manner.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124175136","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
Analysing of the snore sound signals with AutoRegressive modelling 用自回归模型分析鼾声信号
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651300
H. Ankishan, D. Yilmaz
{"title":"Analysing of the snore sound signals with AutoRegressive modelling","authors":"H. Ankishan, D. Yilmaz","doi":"10.1109/SIU.2010.5651300","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651300","url":null,"abstract":"Obstructive sleep apnea (OSA) is a highly prevalent disease in which upper airways are collapsed during sleep, leading to serious consequences. The aim of this work is to study apnea, hypopnea and normal snoring sounds by using the criterias that are not used before in this area. The snoring sounds which are separated from segşments, that are in case of each inspiration and expiration, after enhanced by wavelet transform method. The AutoRegressive model order of these segments are determined with Final Prediction Error and Swartz Bayesion Criterion. Autocorrelation, Loss function and energy of segments are calculated on these sounds modelled with (AR) Autoregressive Model. The results were showed that the model order and energies of segments are the highest for patients of having apnea problem, middle degree for patients of having hypopnea problem and lowest degree for the patients of having normal snoring problems. In the meantime, loss function values were different for the patients of apnea, hypopnea and normal snoring patients. Data were obtained from Gulhane Military Medical Hospital at 20 patients. Those are 4 normal snoring, 8 hyponea problem and 8 apnea problem patients.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116567912","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
Automated recognition of obstructive sleep apnoea syndrome from ECG recordings 从心电图记录中自动识别阻塞性睡眠呼吸暂停综合征
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5652784
Abdulnasir Yildiz, M. Akin, M. Poyraz
{"title":"Automated recognition of obstructive sleep apnoea syndrome from ECG recordings","authors":"Abdulnasir Yildiz, M. Akin, M. Poyraz","doi":"10.1109/SIU.2010.5652784","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652784","url":null,"abstract":"Obstructive sleep apnoea syndrome (OSAS) is a highly prevalent sleep disorder. The traditional diagnosis methods of the disorder are cumbersome and expensive. The ability to automatically identify OSAS from ECG recordings is important for clinical diagnosis and treatment. In this study, we presented a system for the automatic recognition of patients with OSA from nocturnal electrocardiogram (ECG) recordings. The presented OSA recognition system comprises of three stages. In the first stage, an algorithm based on DWT was used to analyze ECG recordings for detection ECG-derived respiration (EDR) changes. In the second stage, a FFT based Power spectral density method was used for feature extraction from EDR changes. In the third stage, using a least squares support vector machine (LS-SVM) classifier; normal subjects were separated from subjects with OSA based on obtained features. Using 10 fold cross validation method, the accuracy of proposed system was found 96.7%. The results confirmed that the presented system can aid sleep specialists in the initial assessment of patients with suspected OSA.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"81 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128142382","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
Face recognition from sets of images 从一组图像中识别人脸
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5652986
Hakan Cevikalp
{"title":"Face recognition from sets of images","authors":"Hakan Cevikalp","doi":"10.1109/SIU.2010.5652986","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652986","url":null,"abstract":"This paper introduces a novel method for face recognition based on multiple images. When multiple images are considered, the face recognition problem is defined as taking a set of face images from an unknown person and finding the most similar set among the database of labeled image sets. Our proposed method approximates each image set with a geometric convex model (affine/convex hulls) by using the images in these sets. For any pair of models of this form, the distance between them is determined based on the distance between the closest points in these models. By using the kernel trick, the method is extended to the nonlinear case, which allows us to approximate and match complex and nonlinear face image manifolds. The experiments on different databases show that our proposed method outperforms the current state-of-the art methods in many cases.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125780854","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
A novel shadow detection and restoration algorithm based on atmospheric phenomena 一种新的基于大气现象的阴影检测与恢复算法
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651306
Çağlar Aytekin, Aydin Alatan
{"title":"A novel shadow detection and restoration algorithm based on atmospheric phenomena","authors":"Çağlar Aytekin, Aydin Alatan","doi":"10.1109/SIU.2010.5651306","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651306","url":null,"abstract":"Due to the degradation of an aerial image due to occluding of sunlight, namely shadows, algorithms like segmentation and object recognition may be highly influenced negatively. This paper describes a novel shadow restoration algorithm based on atmospheric effects and characteristics of sun-light for aerial images. In this work, first shadow regions are detected exploiting the Rayleigh scattering phenomena and the fact that shadows have low illumination intensity. After detection shadow restoration is achieved by first restoring partially occluded shadow areas, with modeling these transition regions with a sigmoid function. Then, fully occluded shadow regions are restored by first segmenting the image to uniformly illuminated regions, then multiplying the intensity in these regions with a constant, which is determined by the ratio of intensities between each segment and its non-shadow neighborhood. The experimental results yield better results when compared with the other methods in the literature.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130030185","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
Sparsity enhanced fast subsurface imaging for stepped frequency GPRs 稀疏度增强的步进频率GPRs快速地下成像
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651600
M. A. Tuncer, A. Gurbuz
{"title":"Sparsity enhanced fast subsurface imaging for stepped frequency GPRs","authors":"M. A. Tuncer, A. Gurbuz","doi":"10.1109/SIU.2010.5651600","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651600","url":null,"abstract":"A sparsity enhanced and fast data acquisition and imaging method is presented for stepped-frequency continuous-wave ground penetrating radars (SFCW GPRs). In previous work it is shown that if the target space is sparse like the point like targets, an image of the target space can be constructed with making measurements at only a small number of random frequencies by solving an l1 minimization problem. This greatly reduces the data acquisition time but the computational complexity for the imaging method is high. In this work, subsurface imaging is done with a suboptimal but fast method, orthogonal matching pursuit. Similar results to l1 minimization images are obtained within much shorter times. Also the results are sparse and less cluttered compared to standard backprojection images.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"141 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130922130","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
Measurement and challenges for practical spectrum sensing in cognitive radio systems 认知无线电系统中实际频谱感知的测量和挑战
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651287
H. Çelebi, K. Qaraqe
{"title":"Measurement and challenges for practical spectrum sensing in cognitive radio systems","authors":"H. Çelebi, K. Qaraqe","doi":"10.1109/SIU.2010.5651287","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651287","url":null,"abstract":"Spectrum sensing is a an integral part of cognitive radio systems. The majority of the studies in the literature addresses the theoretical aspects and limits of spectrum sensing. Furthermore, the studies that investigate the practical and implementation aspects of spectrum sensing is rather limited and their focus are to quantify spectrum usage. Hence, in this paper, we report spectrogram results and bandwidth utilization statistics obtained from a practical spectrum sensor network testbed. In addition, the practical considerations such as the effects of threshold and interference on spectrum utilization are presented. The results show that threshold level and interference have significant effects on the spectrum utilization. Hence, optimization of threshold for given location and frequency and mitigation of interference are crucial for accurate spectrum sensing.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"85 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133089032","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
On the capacity analysis of compact space-multimode microstrip antenna arrays for IEEE802.11n MIMO-OFDM systems using sub-optimal MIMO detectors 基于次优MIMO检测器的IEEE802.11n MIMO- ofdm系统紧凑型空间多模微带天线阵列容量分析
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5652442
A. Yavanoglu, O. Ertug
{"title":"On the capacity analysis of compact space-multimode microstrip antenna arrays for IEEE802.11n MIMO-OFDM systems using sub-optimal MIMO detectors","authors":"A. Yavanoglu, O. Ertug","doi":"10.1109/SIU.2010.5652442","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652442","url":null,"abstract":"The recent developments in wireless communication systems in indoor environments requires high data rate and high transmission quality especially for multimedia applications in WLAN (Wireless Local Area Network) systems. In the next-generation communication systems, the spectral efficiency and transmission quality can be vastly enhanced by using compact-multiple-antennas with low correlation ports at both the transmitter and the receive for MIMO communication. In this work, the performance analysis in terms of spectral efficiency and data rate as well as compactness gain for compact multimode stacked circular microstrip patch antenna arrays (SCP-ULA) which are used for MIMO spatial-multiplexing communication in OFDM-WLAN systems conforming to IEEE 802.11n standard is presented by using linear MIMO detectors comparatively with respect to dipole antenna arrays (DP-ULA) and dominantmode circular patch antenna arrays (CP-ULA).","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133272232","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
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