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2011 4th International Congress on Image and Signal Processing最新文献

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A parallel fusion method of remote sensing image based on IHS transformation 基于IHS变换的遥感图像并行融合方法
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100438
X. Xue, Guo Lei, Hongfu Wang, X. Fang
{"title":"A parallel fusion method of remote sensing image based on IHS transformation","authors":"X. Xue, Guo Lei, Hongfu Wang, X. Fang","doi":"10.1109/CISP.2011.6100438","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100438","url":null,"abstract":"With the development of modern remote sensing technology, a variety of earth observation satellites could continue to tremendously provide images of different spatial resolution, time resolution, spectral resolution remote sensing, and the remote sensing data obtained is increasing, which forms multi-source image pyramid in the same area. In such cases, in the description of the same object with multiple-source remote sensing information, how to conduct effective data processing, play the advantages of a variety of remote sensing data, the application of remote sensing image fusion is a very important choice. When remote sensing data is large, fusion is large in computing capacity and time-consuming, so it is difficult to carry out rapid, real-time fusion. However, in some remote sensing applications, such as disaster prevention and relief quick, etc., fast even real-time fusion is required. The fusion method based IHS (intensity, hue, saturation) transformation is a basic method. In this paper, with Beijing-1 Micro-satellite remote sensing images as the experimental data, based on the advantages of parallel computing, a parallel IHS fusion method of remote sensing image is proposed. Experiments show that good results of remote sensing image fusion can be obtained with the method, and the fusion speed is also fast.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123689547","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
Study on relationship between network video packet loss and video quality 网络视频丢包与视频质量关系的研究
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6099995
Ni Chen, Xiuhua Jiang, Caihong Wang, Jia Su
{"title":"Study on relationship between network video packet loss and video quality","authors":"Ni Chen, Xiuhua Jiang, Caihong Wang, Jia Su","doi":"10.1109/CISP.2011.6099995","DOIUrl":"https://doi.org/10.1109/CISP.2011.6099995","url":null,"abstract":"As the network video market grows rapidly, the network video quality assessment concerns a lot. This paper analyzes the reasons that influence the transmission quality of network video. A real-time packet analysis system is designed to monitor packet loss. Then a set of experiments based on our system are conducted to show the effect of packet loss on video quality. Furthermore, the effect on the video quality is analyzed under the specific condition, which refers to certain packet loss rate, packet loss with different frame type and packet loss containing frame type tag. Learning of the difference of impairment level among various packet loss types, it could help to decide which packet to lose in the intermediate node in order to relieve network congestion.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"47 33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121901808","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: 10
Infrared and visible images fusion based on contourlet-domain Hidden Markov Tree model 基于contourlet域隐马尔可夫树模型的红外与可见光图像融合
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100599
Zejing Guang, Zhenbing Zhao, Q. Gao, Sasa Wang
{"title":"Infrared and visible images fusion based on contourlet-domain Hidden Markov Tree model","authors":"Zejing Guang, Zhenbing Zhao, Q. Gao, Sasa Wang","doi":"10.1109/CISP.2011.6100599","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100599","url":null,"abstract":"According to the fusion problem of infrared and visible images, the algorithm based on Contourlet-domain Hidden Markov Tree model (CHMT) is proposed in this paper. After the contourlet transform on the images, contourlet coefficients of the source images are trained to Contourlet-domain HMT model using the Expectation Maximization (EM) algorithm. Because the Contourlet-domain HMT model efficiently captures all dependencies across scales, space and directions through a tree structured dependence network, it can give more accurate description of images. Then a new fusion rule for the high frequency is built based on the window energy ratio, and weight average is adopted for low frequency. Experimental results show that the proposed algorithm provides more satisfying fusion results in terms of visual effect and objective evaluations, such as standard deviation, standard variance and clarity.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122053128","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 Matlab demo software for NIBP measurement based on hybrid oscillometric method 基于混合振荡法的NIBP测量的Matlab演示软件
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100763
Ping Huang, Jun Fu, Yunfeng Zhao
{"title":"A Matlab demo software for NIBP measurement based on hybrid oscillometric method","authors":"Ping Huang, Jun Fu, Yunfeng Zhao","doi":"10.1109/CISP.2011.6100763","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100763","url":null,"abstract":"The oscillometric method is increasingly popular in electronic devices for noninvasive blood pressure (NIBP) measurement. Some algorithms based on amplitude coefficients or waveform characteristics were proposed to determine the systolic and diastolic blood pressures. In this paper, a Matlab demo software is developed to demonstrate the hybrid oscillometric method. Experimental results show that this method attains satisfying performance compared with the standard Korotkoff sound method using mercurial sphygmomanometer.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123975964","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
Comparison of fluorescence image filtering based on optical mapping of cardiac electrical activity 基于心电活动光学成像的荧光图像滤波比较
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100536
Hua Xiao, Chao Jiang
{"title":"Comparison of fluorescence image filtering based on optical mapping of cardiac electrical activity","authors":"Hua Xiao, Chao Jiang","doi":"10.1109/CISP.2011.6100536","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100536","url":null,"abstract":"To deal with the fluorescence images collected by optical mapping system with too low in contract and too dark for the naked eye, we used several different ways to enhance the images, including space filtering, frequency-domain filtering, wavelet transform filtering. And the experiment result showed that gradient method was the best way to deal with the images in the early-stage image process. And if the higher contract images are needed, we can use homographic filtering after the gradient method.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124032904","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
Fisher classifier in diagnosis of coronary heart disease Fisher分类器在冠心病诊断中的应用
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100787
Zhou Run-jing, Liu Keyang
{"title":"Fisher classifier in diagnosis of coronary heart disease","authors":"Zhou Run-jing, Liu Keyang","doi":"10.1109/CISP.2011.6100787","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100787","url":null,"abstract":"This paper designed a analysis system of coronary heart disease which can analyse the signal of heart sound and extract the feature of it. We apply the method named HHT (Hilbert-Huang Transform) to analyze the signal of diastolic heart sound, and classify the results that have been dealed with the initial signal using the Fisher classifier. And determine the test's blockage level of coronary artery ultimately.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124087474","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
Stereoscopic image generation from 2D image based on object feature analysis 基于目标特征分析的二维图像生成立体图像
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100645
Chaoqing Ma, O. Gwun, Sungsik Shin, Hyun-Ju Park
{"title":"Stereoscopic image generation from 2D image based on object feature analysis","authors":"Chaoqing Ma, O. Gwun, Sungsik Shin, Hyun-Ju Park","doi":"10.1109/CISP.2011.6100645","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100645","url":null,"abstract":"In order to obtain a better stereoscopic image from a 2D image, it needs to generate an accurate depth-map from the 2D image. This paper proposes a method which generates stereoscopic images for outdoor scene by based on object feature analysis. First, it detects vanishing lines and vanishing point on an image. Second, it segments the objects on the image by Hill-climbing based segmentation and makes initial depth-map. Finally, it accurates the initial depth-map for the image based on object feature analysis. The final depth-map is used for generation of the stereoscopic image. Experimental results of the method show that the synthetic stereo image pairs are close to the original stereo image pairs.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125854740","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
Single channel polyphonic music signal separation based on Bayesian harmonic model 基于贝叶斯谐波模型的单通道复调音乐信号分离
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6100778
Hui Wang, Ying Wang, Weina Wang, Bin Zhu, Sai Ma
{"title":"Single channel polyphonic music signal separation based on Bayesian harmonic model","authors":"Hui Wang, Ying Wang, Weina Wang, Bin Zhu, Sai Ma","doi":"10.1109/CISP.2011.6100778","DOIUrl":"https://doi.org/10.1109/CISP.2011.6100778","url":null,"abstract":"The separation of single channel polyphonic music signal has attracted significant attention in recent years, and it is also a challenging problem in sound source separation field. In this paper we propose an algorithm to separate polyphonic music signal in single channel. This algorithm estimates multiple fundamental frequencies in frequency domain and combines the Bayesian harmonic model to estimate other parameters of the music signals, and then it realizes the separation by using all the estimated parameters. The experimental results show that the proposed method can efficiently separate polyphonic music signals in single channel.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"40 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126122560","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
A study of human activity sequence segmentation based on gaussian model 基于高斯模型的人体活动序列分割研究
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6099938
W. Xiong, Er-Hu Zhang
{"title":"A study of human activity sequence segmentation based on gaussian model","authors":"W. Xiong, Er-Hu Zhang","doi":"10.1109/CISP.2011.6099938","DOIUrl":"https://doi.org/10.1109/CISP.2011.6099938","url":null,"abstract":"Human activity analysis based on video is a hot research topic in the field of computer vision, in which segmentation of human activity sequence is a fundamental question. In this paper, we present a new unsupervised segmentation method for human activity sequence. The main idea of this method is that the most dramatic point, which is regarded as the split point, is detected by gaussian model according to human action's mutation in the video. Experimental results show the feasibility and effectiveness of the segmentation algorithm in this paper.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124609409","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
Hyperspectral imaging technology for detection of moisture content of tomato leaves 高光谱成像技术检测番茄叶片水分含量
2011 4th International Congress on Image and Signal Processing Pub Date : 2011-12-12 DOI: 10.1109/CISP.2011.6099906
Ying Zhou, H. Mao, Xiaodong Zhang
{"title":"Hyperspectral imaging technology for detection of moisture content of tomato leaves","authors":"Ying Zhou, H. Mao, Xiaodong Zhang","doi":"10.1109/CISP.2011.6099906","DOIUrl":"https://doi.org/10.1109/CISP.2011.6099906","url":null,"abstract":"Hyperspectral imaging technology for detection of moisture content of crops takes into account both the internal information and external features. It improves the comprehensiveness and reliability of detection. A hyperspectral imaging system is developed to perform acquisition of hyperspectral imaging data. The adaptive band selection is adopted to select the optimal characteristic wavelength from lots of data, and the optimal wavelength is 1420nm. The images of all samples at 1420nm are segmented, reversed and operated, and then the target images are obtained. The mean value and standard deviation of gray scale are extracted as grey features, and the mean value and standard deviation of energy, entropy, geometrical moment of inertia, correlation as texture features. The optimal feature subset is selected by GA-PLSR, and then the partial least-squares regression model is established. The correlation coefficient between the predict value and the real value is 0.902. It is higher obviously than the prediction models based on grey features or texture features.","PeriodicalId":301048,"journal":{"name":"2011 4th International Congress on Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129853950","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
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