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2010 International Conference on Wavelet Analysis and Pattern Recognition最新文献

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Multi-resolution local binary patterns for image classification 多分辨率局部二值模式图像分类
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576318
Peng Liang, Shao-fa Li, Jiang Qin
{"title":"Multi-resolution local binary patterns for image classification","authors":"Peng Liang, Shao-fa Li, Jiang Qin","doi":"10.1109/ICWAPR.2010.5576318","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576318","url":null,"abstract":"This paper presents a novel method to extract image features for image classification. The extracted feature named multi-resolution local binary pattern (MR-LBP) is based on the local binary pattern (LBP) feature. The MR-LBP feature is highly distinctive by making use of multi-resolution patterns to obtain more descriptive information. The experiments results demonstrate the proposed MR-LBP feature is robust to image rotation, illumination changes and image noises. We also describe a descriptor called MR-LBP descriptor to using the features for image classification. Through experiments, our proposed approach performs favorably compared with the most well-known SIFT descriptor in two benchmark dataset. What's more, the proposed descriptor is computation simpler than the SIFT descriptor.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115393657","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
A study of general orthogonal four-element wavelet packet bases 一般正交四元小波包基的研究
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576353
Qingjiang Chen, Xianghai Li, Jianwei Yang
{"title":"A study of general orthogonal four-element wavelet packet bases","authors":"Qingjiang Chen, Xianghai Li, Jianwei Yang","doi":"10.1109/ICWAPR.2010.5576353","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576353","url":null,"abstract":"In this article, the notion of orthogonal nonseparable four-dimensional wavelet packets, which is the generalization of orthogonal univariate wavelet packets, is introduced. A new approach for constructing them is presented by iteration method. The orthogonality properties of four-dimensional wavelet packets are discussed. Three orthogonality formulas concerning these wavelet packets are estabished.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125886924","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
The effect of defect depth on reflection coefficient of ultrasonic guided waves in steel pipes 缺陷深度对超声导波在钢管内反射系数的影响
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576350
Fengbin Tian, Yang Jiao, Guanghai Li, Guangkai Sun, Yu-Bo Zhao
{"title":"The effect of defect depth on reflection coefficient of ultrasonic guided waves in steel pipes","authors":"Fengbin Tian, Yang Jiao, Guanghai Li, Guangkai Sun, Yu-Bo Zhao","doi":"10.1109/ICWAPR.2010.5576350","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576350","url":null,"abstract":"Through the analysis of dispersion equation and curves of ultrasonic guided waves in the steel pipes, L (0,2) and T (0,1) mode are applied to the defect detection field. The finite element method is used to analysis the propagation and reflection process of L (0,2) and T (0,1) mode guided waves in the steel pipes with depth varying middle defects, and the conclusion that the relationship between the depth range of the defect and the reflection coefficient of guided waves is linear in steel pipes is summed up. Finally, the conclusion is verified by field test analysis.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126117669","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
Detection of the vortex signal in vibration environment and signal processing based on EMD decompositions 振动环境下涡流信号的检测及基于EMD分解的信号处理
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576338
Hong-jun Sun, Jian Liu, Lei Chi, Tao Zhang
{"title":"Detection of the vortex signal in vibration environment and signal processing based on EMD decompositions","authors":"Hong-jun Sun, Jian Liu, Lei Chi, Tao Zhang","doi":"10.1109/ICWAPR.2010.5576338","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576338","url":null,"abstract":"The vortex signal is greatly disturbed by noises from pipe vibration, which results in difficulties of using vortex flowmeter in vibration environment. In order to solve the problem, a new method of anti-cyclical vibration for vortex flowmeter is proposed in this paper, which aims to eliminate the vibration of the vortex flowmeter via detecting vibration signal. The main frequency component of pipe vibration signal is analyzed by using EMD method and the energy method based on IMF. Then the main frequency component is chosen as a notch filter. Subsequently, a true vortex signal is gained via filtering the complex vortex signal in the frequency domain. Through experimental measurement of gas flow under different acceleration and directions of vibration, a better linearity of measurement is achieved by the proposed method in vibration environment.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123797248","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
Multiscale Gaussian Markov Random Fields for writer identification 作者识别的多尺度高斯马尔可夫随机场
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576313
Liangshuo Ning, Long Zhou, Xinge You, Liang Du, Zhengyu He
{"title":"Multiscale Gaussian Markov Random Fields for writer identification","authors":"Liangshuo Ning, Long Zhou, Xinge You, Liang Du, Zhengyu He","doi":"10.1109/ICWAPR.2010.5576313","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576313","url":null,"abstract":"Writer identification recently has been considerably studied due to its various applications in forensic and commercial sections. Because offline, text-independent writer identification has limited requirements in writing sample collection, it has wider applications and meanwhile more difficult to handle. By considering handwriting images as visually distinctive textures, we propose a new method for offline, text-independent writer identification based on multiscale version of Gaussian Markov Random Fields (GMRF) model. The handwriting features are extracted in wavelet domain of handwriting textures in which global texture feature (such as directional information) from handwriting can be detected. In addition, GMRF is investigated to capture different local spatial structures of graphemes (character-shape) written by different people. The experimental results demonstrate that the proposed method outperforms both 2-D Gabor model and wavelet-based GGD method.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124096351","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
A public key watermarking based on hyper-chaotic cellular neural network 基于超混沌细胞神经网络的公钥水印
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576461
Li-zong Li, Tieniu Gao, Q. Gu, Qunting Yang
{"title":"A public key watermarking based on hyper-chaotic cellular neural network","authors":"Li-zong Li, Tieniu Gao, Q. Gu, Qunting Yang","doi":"10.1109/ICWAPR.2010.5576461","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576461","url":null,"abstract":"In this paper, a new watermarking using cell neural network with hyper-chaotic cellular neural network (HCCNN) is proposed. In the scheme, the pixel values of the image are used to the input of the HCCNN. The outputs of the HCCNN are encrypted by the public key system, and then are embedded into the LSBs of the original image. The receiver can verify the suspected image with the signer's public key. Simulations show that the scheme can detect if the key is incorrect, if the image is tampered in its pixel values, and moreover, can detect and locate the position of any slightly tampered parts for a suspected image.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126498040","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
Rotation invariant feature extraction by combining denoising with Zernike moments 结合去噪和泽尼克矩的旋转不变特征提取
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576326
G. Chen, W. Xie
{"title":"Rotation invariant feature extraction by combining denoising with Zernike moments","authors":"G. Chen, W. Xie","doi":"10.1109/ICWAPR.2010.5576326","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576326","url":null,"abstract":"Rotation invariant feature extraction is a classical topic in pattern recognition. It is well known that Zernike moment features are invariant with regard to rotation. However, due to noise present in the unknown pattern image, Zernike moment features can fail to recognize the noisy pattern. In this paper, a new feature extraction method is proposed by combining a wavelet-based denoising method with zernike moment feature extraction in order to achieve improved classification rates. Experimental results demonstrate its superiority over zernike moments without denoising.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125742958","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
Some properties on G-frames 关于g坐标系的一些性质
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576385
Gang Wang, Baoqin Wang, L. Yuan, Yali Wang
{"title":"Some properties on G-frames","authors":"Gang Wang, Baoqin Wang, L. Yuan, Yali Wang","doi":"10.1109/ICWAPR.2010.5576385","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576385","url":null,"abstract":"Frames play an important role in wavelet analysis. G-fra mes are generalized frames which include ordinary frames, a nd many other recent generalization of frames. In this paper, we give several theorems to construct a large number of new G-frames from existing G-frames.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130045667","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 new wavelet packet transform fast algorithm with dilation factor 3/2 一种新的扩展因子为3/2的小波包变换快速算法
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576358
Yan Li, Hui-Guang Li, Xiao-li Li, Yang Gao
{"title":"A new wavelet packet transform fast algorithm with dilation factor 3/2","authors":"Yan Li, Hui-Guang Li, Xiao-li Li, Yang Gao","doi":"10.1109/ICWAPR.2010.5576358","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576358","url":null,"abstract":"The dyadic multi-resolution analysis (MRA) has a drawback, that is, there is frequency distortion in the high frequency subband, and frequency distortion is happened more serious in the process of decomposition of the dyadic wavelet packet transform. This paper presents a contribution to the 3/2 wavelet packet transform. The new algorithm includes: the method of decimation; the structure of signal processing; the computations of the frequency band width of the subband; the selection of scaling functions, wavelet functions and the corresponding filters. The simulation of numerical value and EEG example proves the algorithm can solve the frequency distortion in the process of decimation in each level.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"5 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134575261","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
Research on aeroengine rub-impact fault analysis based on wavelet transform and the local binary patterns 基于小波变换和局部二值模式的航空发动机碰摩故障分析研究
2010 International Conference on Wavelet Analysis and Pattern Recognition Pub Date : 2010-07-11 DOI: 10.1109/ICWAPR.2010.5576414
Ya-hui Wu, J. Xue, Da-zhi Zhang, Xin-Liang Li
{"title":"Research on aeroengine rub-impact fault analysis based on wavelet transform and the local binary patterns","authors":"Ya-hui Wu, J. Xue, Da-zhi Zhang, Xin-Liang Li","doi":"10.1109/ICWAPR.2010.5576414","DOIUrl":"https://doi.org/10.1109/ICWAPR.2010.5576414","url":null,"abstract":"The local binary patterns statistical characteristics of the continuous wavelet transform scalogram of the aeroengine vibration signal are explored in this paper. The method is based on recognizing that certain uniform local binary patterns which are fundamental properties of local image texture and their occurrence histogram is proven to be a very powerful texture feature. Three patterns are studied on the rub-impact faulty signals from the aeroengine test. The analysis indicates that these features are suitable to reflect the local information of the scalogram and can reveal the characteristic of vibration signals well.","PeriodicalId":219884,"journal":{"name":"2010 International Conference on Wavelet Analysis and Pattern Recognition","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129386011","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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