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Neonatal Pain Expression Recognition Based on LBP Features and Sparse Representation

Neonatal Pain Expression Recognition Based on LBP Features a...

引用

2015 World Conference on Control, Electronics and Electrical Engineering(WCEE 2015)

作者： Guanming Lu Mengying Chen Xiaonan Li Jiangsu Province Key Lab on Image Processing & Image Communication Nanjing University of Posts and Telecommunications Nanjing Children's Hospital Affiliated to Nanjing Medical University

Facial expressions are considered a reliable indicator in neonatal pain *** paper proposes a new neonatal pain expression recognition method,which utilizes the feature descriptors based on weighted Local Binary Pattern(LBP)and the classifier based on sparse ***,the normalized facial image is described using a feature vector,which is histogram sequence obtained by concatenating the weighted histograms of the LBP maps of all the local ***,the Principal Component Analysis(PCA)method is used to reduce the dimension of the feature ***,the classifier based on sparse representation is applied to classify test sample into four classes of facial expressions:calm,crying,moderate pain,severe *** objective of this study is to assist the clinicians in assessing neonatal pain by utilizing computer-based image analysis *** experimental results on neonate facial image database show the effectiveness of the proposed *** classification accuracy is up to 85.50%.

关键词： expression recognition,local binary pattern,sparse representation,neonate,pain expression.

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Fetal electrocardiogram extraction based on modified robust independent component analysis

Fetal electrocardiogram extraction based on modified robust ...

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2013 International Conference on Bio-Medical Materials and Engineering, ICBME 2013

作者： Yao, Wen Po Zhao, Jun Chang Zheng, Zheng Zhong Liu, Tie Bing Liu, Hong Xing Wang, Jun Image Processing and Image Communications Key Lab. Nanjing Univ. of Posts and Telecomm Nanjing 210003 China Nanjing General Hospital of Nanjing Military Command Nanjing 210002 China School of Electronic Science and Engineering Nanjing University Nanjing 210093 China

ISBN: (纸本)9783037857557

Fetal electrocardiogram (FECG) separation gets widely attention due to its clinical significance. In the paper, we proposed an improved robust independent component analysis for fetal ECG separation. Firstly, wavelet decomposition was applied to fetal ECG to get the relevant parameters. Then, the RobustICA was used to separate the mixed signals. Compared to robust independent component analysis, computing speed of the improved algorithm increased by an average of 15 percent while minimum mean square error fluctuations 0.0008, which indicated that this algorithm could be effectively used in clinical fetal ECG monitoring. © (2013) Trans Tech Publications, Switzerland.

关键词： Independent component analysis

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CONTOURLET TRANSFORM BASED MOVING OBJECT SEGMENTATION

CONTOURLET TRANSFORM BASED MOVING OBJECT SEGMENTATION

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IEEE Conference on Information & communication Technologies

作者： Manish Khare Swati Nigam Rajneesh Kumar Srivastava Ashish Khare Image Processing and Computer Vision Lab Department of Electronics and Communication University of Allahabad

ISBN: (纸本)9781467357593

Moving object segmentation is an important step toward development of any computer vision systems. In the present work, we have proposed a new method for segmentation of moving objects, which is based on single change detection method applied on Contourlet coefficients of two consecutive frames. We have chosen contourlet transform as it has high directionality and represents salient features of image such as edges, curves and contours in better way as compared with wavelet transform. The proposed method is simple and does not require any other parameter except contourlet coefficients. Results after applying the proposed method for segmentation of moving objects are compared with other state-of-the-art methods in terms of visual as well as quantitative performance measures viz. Average difference, Normalized absolute error and Pixel classification based measure. The proposed method is found to be better than other methods.

关键词： Contourlet transform Moving object segmentation Single change detection Performance measures for segmentation

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Design of M-channel uniform linear-phase filter banks with near-perfect-reconstruction property

Design of M-channel uniform linear-phase filter banks with n...

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2012 3rd IEEE/IET International Conference on Audio, Language and image processing, ICALIP 2012

作者： Zhong, Wei Xie, Xuemei Shi, Guangming Peng, Bin Zhang, Qin Key Lab. of Media Audio and Video of Ministry of Education Communication University of China Beijing China Key Lab. of Intelligent Perception and Image Understanding of Ministry of Education Xidian University Xi'an China

ISBN: (纸本)9781467301718

In this paper, we propose a simple but effective method for the design of M-channel uniform linearphase (LP) filter banks. We are mainly concerned with the significant aliasing caused by the two adjacent filters, leading to a near-perfect-reconstruction (NPR) system. With some assumptions, a matching condition is derived for efficient aliasing cancellation. By using the proposed design criteria to construct each filter, the requirements imposed on the entire filter bank become those on individual filters. It greatly simplifies the design of NPR uniform LP filter banks and no objective function in the optimization is explicitly required. In addition, the proposed method is more general with no limitation on the channel number and filter length. As illustrated by examples, the proposed method can provide a simple and efficient alternative for designing NPR uniform filter banks with the expected LP property. © 2012 IEEE.

关键词： Filter banks

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BIORTHOGONAL WAVELET TRANSFORM BASED image FUSION USING ABSOLUTE MAXIMUM FUSION RULE

BIORTHOGONAL WAVELET TRANSFORM BASED IMAGE FUSION USING ABSO...

引用

IEEE Conference on Information & communication Technologies

作者： Om Prakash Richa Srivastava Ashish Khare Image Processing and Computer Vision Lab Department of Electronics and Communication University of Allahabad

ISBN: (纸本)9781467357593

The objective of image fusion is to combine relevant information from two or more images of the same scene into a single composite image which is more informative and is more suitable for human and machine perception. In recent past, different methods of image fusion have been proposed in literature both in spatial domain and wavelet domain. Spatial domain based methods produce spatial distortions in the fused image. Spatial domain distortion can be well handled by the use of wavelet transform based image fusion methods. In this paper, we propose a pixel-level image fusion scheme using multiresolution Biorthogonal wavelet transform (BWT). Wavelet coefficients at different decomposion levels are fused using absolute maximum fusion rule. Two important properties wavelet symmetry and linear phase of BWT have been exploited for image fusion because they are capable to preserve edge information and hence reducing the distortions in the fused image. The performance of the proposed method have been extensively tested on several pairs of multifocus and multimodal images both free from any noise and in presence of additive white Gaussian noise and compared visually and quantitatively against existing spatial domain methods. Experimental results show that the proposed method improves fusion quality by reducing loss of significant information available in individual images. Fusion factor, entropy and standard deviation are used as quantitative quality measures of the fused image.

关键词： image fusion Multifocus images Multimodality Biorthogonal wavelet transform Fusion rules

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Epilepsy electroencephalagram singals study based on detrended cross-correlation analysis

Epilepsy electroencephalagram singals study based on detrend...

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2013 International Conference on Information,Business and Education Technology(ICIBET 2013)

作者： Junchang Zhao Wanhu Dou Hongda Ji Jun Wang Image Processing and Image Communications Key Lab College of Geo & Bio Information Nanjing Univ of Posts & Telecomm

The cross-correlation performance between epilepsy electroencephalogram (EEG) signals reflects the status of epilepsy patients which has importance for analyzing long-range correlation of non-stationary signals. For the first time, detrended cross-correlation analysis (DCCA) was applied to analyze the α wave of different physiological and pathological states of epilepsy EEG signals. It were compared the difference of DCCA values between epilepsy patients' EEG signals and normal subjects' EEG signals. It was found that the DCCA values of epilepsy patients' EEG signals increased compared the normal subjects' EEG signals which can be helpful for medical diagnosis and treatment.

关键词： least squares linear fitting, detrended cross-correlation analysis, epilepsy, EEG, α wave

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Compressed video super-resolution reconstruction based on regularized algorithm

Compressed video super-resolution reconstruction based on re...

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International Conference on Signal processing Proceedings (ICSP)

作者： Xu Zhong-qiang Gan Zongliang Zhu Xiu-chang Information Industry Ministry and Jiangsu Province Key Laboratory of Image Processing & Image Communication Nanjing University of Posts and Telecommunications Nanjing China

Estimating high-resolution (HR) video from a sequence of low-resolution (LR) compressed observations is the focus of this paper. Based on the theory of regularization, this paper proposes a new form of regularized cost function to control the within-channel balance between received data and prior information, and a channel weight coefficient to control the cross-channel fidelity. The LR frames are adaptively weighted according to their reliability and the regularization parameter is simultaneously estimated for each channel with ameliorating artifacts in compressed video. An iterative gradient descent algorithm is utilized to reconstruction the HR video. Experimental results demonstrate that the proposed algorithm has an improvement in terms of both objective and subjective quality

关键词： Video compression image coding Iterative algorithms image resolution image reconstruction Cost function Discrete cosine transforms Quantization image storage Gallium nitride

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Symbolic transfer entropy analyzed sleep electroencephalogram

Symbolic transfer entropy analyzed sleep electroencephalogra...

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2013 International Conference on Information,Business and Education Technology(ICIBET 2013)

作者： Ruijun Chang Liu Yang Qiuping Chen Jun Wang Image Processing and Image Communications Key Lab College of Geo & Bio InformationNanjing Univ of Posts & Telecomm

ISBN: (纸本)9781629932101

The quality of sleep has a great relationship with health. The result of sleep stage classification is an important indicator to measure the quality of sleep. It was found that the symbolic transfer entropy about the α wave of the wake and the first stage of non-rapid eye movement sleep reflect on the changes of sleep stage. And it was confirmed by T test and multisamples experiments. The symbolic transfer entropy can apply into automatic sleep stage classification. By Multi-parameter analysis it could achieve a higher accuracy of sleep stage classification.

关键词： EEG symbolic transfer entropy sleep stage classification, α wave

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Bayesian Network based Abnormality Detection with Genetic Algorithm optimization

Bayesian Network based Abnormality Detection with Genetic Al...

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International Conference on Computational Problem-Solving (ICCP)

作者： Jingbang Qiu Chongyang Zhang Shibao Zheng Institute of Image Communication and Information Processing Shanghai Jiaotong University Shanghai China Institute of Image Communication and Information Processing Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai Jiaotong University Shanghai China

Abnormality Detection (AD), being the core part of intelligent surveillance systems, is calling for growing research interest due to its importance in providing higher efficiency and labor saving. In this paper, we propose a novel Bayesian Network (BN) based AD method for smart surveillance in scenes containing large scale viewpoint changes without model-relearning. In the proposed AD scheme, Reasoning Layer is introduced into BN to strengthen logical inferences, and a localized Genetic Algorithm (GA) is developed to optimize BN parameters and structure. With the expert knowledge aided BN structure modeling and GA based optimization, the proposed method can provide more robust detection experience with retained accuracy. Experiments on unlearned surveillance test sequences are shown to exhibit the validity of this method.

关键词： Gallium Optimization Hidden Markov models Surveillance Genetic algorithms Humans Robustness

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Using Structural degradation and Parallax for reduced-reference quality assessment of 3D images

Using Structural degradation and Parallax for reduced-refere...

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IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

作者： Qi Xu Guangtao Zhai Min Liu Ke Gu Institute of Image Communication and Information Processing Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai China

Owing to the thriving market of stereoscopic image based applications, efficient and effective 3D image quality assessment (IQA) techniques become colossally required these days. Consequently, we introduce a new reduced-reference (RR) stereoscopic image quality metric to meet this demand, through measuring Structural degradation and Saliency based Parallax compensation Model (SSPM). Experimental results on the LIVE 3D image Quality Database, including both symmetrically and asymmetrically distorted stereoscopic images in different categories and quality levels, are provided to justify the effectiveness of the proposed SSPM model as compared to some existing progressive and popular stereoscopic IQA approaches. Meanwhile, it deserves broad attentions that only four number pairs, extracted from original image, are required as the key feature to be sent to the receiver terminal, thus making this procedure also efficient.

关键词： Three-dimensional displays Stereo image processing Measurement image quality Databases Degradation Nonlinear distortion

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