Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5304322
X. Che, W. Qiao, Ruijia Wang
Formation anisotropy evaluation is very important for complex reservoir in petroleum exploration. Cross-dipole array acoustic well logging technology breaks the restriction that shear waves could not be measured in soft formations. The cross-dipole acoustic data can be used to study the formation anisotropy. This paper presents an example of cross-dipole application of Multi- Pole Acoustic Logging (MPAL) tool made in China. The four- component cross-dipole data is processed and analyzed. The output slowness of fast shear waves and slow shear waves, anisotropy, azimuth of fast shear waves and slow shear waves are used to evaluate the azimuthal anisotropy around borehole.
{"title":"MPAL Cross-Dipole Array Acoustic Logging Data Processing","authors":"X. Che, W. Qiao, Ruijia Wang","doi":"10.1109/CISP.2009.5304322","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304322","url":null,"abstract":"Formation anisotropy evaluation is very important for complex reservoir in petroleum exploration. Cross-dipole array acoustic well logging technology breaks the restriction that shear waves could not be measured in soft formations. The cross-dipole acoustic data can be used to study the formation anisotropy. This paper presents an example of cross-dipole application of Multi- Pole Acoustic Logging (MPAL) tool made in China. The four- component cross-dipole data is processed and analyzed. The output slowness of fast shear waves and slow shear waves, anisotropy, azimuth of fast shear waves and slow shear waves are used to evaluate the azimuthal anisotropy around borehole.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128240716","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}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5302894
Ye Sun
Charge-coupled device (CCD) and electrical addressable liquid crystal display (EALCD), as a kind of holography recording and reconstruction device, has taken their parts into holographic interferometry gradually. It adds new content and method to the development and application of holography. On the basis of theory analysis and practical experiment, a new method that combined double-exposure holographic interferometry with digital image processing, and combined CCD with EALCD is used in micro-displacement measurement. In my paper, I have studied the application condition of CCD/EALCD in digital holographic interferometry and have tried to do some digital image processing onto the hologram. Concerning off-axis holographic recording system, I have analyzed the fundamentals and conditions of CCD recording and the EALCD reconstruction. Simultaneously, I have also tried to process the holograms with digital image processing technique, and achieved better reconstruction results. Finally, I got the interference fringes successfully and calculated micro-displacement of object by the interference fringes.
{"title":"Application of Digital Holography in Displacement Measurement","authors":"Ye Sun","doi":"10.1109/CISP.2009.5302894","DOIUrl":"https://doi.org/10.1109/CISP.2009.5302894","url":null,"abstract":"Charge-coupled device (CCD) and electrical addressable liquid crystal display (EALCD), as a kind of holography recording and reconstruction device, has taken their parts into holographic interferometry gradually. It adds new content and method to the development and application of holography. On the basis of theory analysis and practical experiment, a new method that combined double-exposure holographic interferometry with digital image processing, and combined CCD with EALCD is used in micro-displacement measurement. In my paper, I have studied the application condition of CCD/EALCD in digital holographic interferometry and have tried to do some digital image processing onto the hologram. Concerning off-axis holographic recording system, I have analyzed the fundamentals and conditions of CCD recording and the EALCD reconstruction. Simultaneously, I have also tried to process the holograms with digital image processing technique, and achieved better reconstruction results. Finally, I got the interference fringes successfully and calculated micro-displacement of object by the interference fringes.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128270572","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}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5303952
Z. Deng, Ke-bin Jia, Yui-Lam Chan, C. Fu, W. Siu
Based on the temporal and interview redundancy of stereoscopic video coding, a fast motion and disparity estimation algorithm is proposed in this paper. Firstly, a credible start point is designed taking use of the view-temporal correlation of neighboring motion and disparity vectors. Secondly, an improved searching strategy is proposed to reduce the computational complexity, in which only 2-pixel refinement is needed around the start point. The proposed algorithm can get both motion vector and disparity vector during one estimation process. The experimental results demonstrate that the proposed algorithm can reduce up to 96% coding time compared with inter-view full search with a negligible quality drop. Keywords-stereoscopic video coding; disparity estimation; viewtemporal correlation; interview redundancy
{"title":"A Fast View-Temporal Prediction Algorithm for Stereoscopic Video Coding","authors":"Z. Deng, Ke-bin Jia, Yui-Lam Chan, C. Fu, W. Siu","doi":"10.1109/CISP.2009.5303952","DOIUrl":"https://doi.org/10.1109/CISP.2009.5303952","url":null,"abstract":"Based on the temporal and interview redundancy of stereoscopic video coding, a fast motion and disparity estimation algorithm is proposed in this paper. Firstly, a credible start point is designed taking use of the view-temporal correlation of neighboring motion and disparity vectors. Secondly, an improved searching strategy is proposed to reduce the computational complexity, in which only 2-pixel refinement is needed around the start point. The proposed algorithm can get both motion vector and disparity vector during one estimation process. The experimental results demonstrate that the proposed algorithm can reduce up to 96% coding time compared with inter-view full search with a negligible quality drop. Keywords-stereoscopic video coding; disparity estimation; viewtemporal correlation; interview redundancy","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128377267","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}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5302085
Honglei Wei, Danni Liu, Changyou Guo
A novel fingerprint matching algorithm based on quadrangles has been developed. To begin with, we extracted ridge lines from fingerprints, and three phases were performed to match the ridge lines between two fingerprints. In the first phase, an inaccurate set of matched line pairs were built by matching the local quadrangle set (LQS). In the second phase, the fake pairs were removed from the set by evaluating the correlation among the pairs. A decision for the two fingerprints coming from the same finger or not could be made based on the shrunken set in case there were enough pairs in the set, otherwise the set was extended by adding the possible matched pairs that failed matching in the first phase so that a more reliable decision could be made. Experiments using the FVC2002 (Fingerprint verification competition 2000) databases show that the proposed algorithm is effective.
{"title":"Fingerprints Matching Based on Quadrangle","authors":"Honglei Wei, Danni Liu, Changyou Guo","doi":"10.1109/CISP.2009.5302085","DOIUrl":"https://doi.org/10.1109/CISP.2009.5302085","url":null,"abstract":"A novel fingerprint matching algorithm based on quadrangles has been developed. To begin with, we extracted ridge lines from fingerprints, and three phases were performed to match the ridge lines between two fingerprints. In the first phase, an inaccurate set of matched line pairs were built by matching the local quadrangle set (LQS). In the second phase, the fake pairs were removed from the set by evaluating the correlation among the pairs. A decision for the two fingerprints coming from the same finger or not could be made based on the shrunken set in case there were enough pairs in the set, otherwise the set was extended by adding the possible matched pairs that failed matching in the first phase so that a more reliable decision could be made. Experiments using the FVC2002 (Fingerprint verification competition 2000) databases show that the proposed algorithm is effective.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128627550","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}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5304080
Lei Wang, Yun-Kang Zou, Hong-Jun Zhang
For the noise, blurry Edge, bad contrast of the medical CT image, a medical CT Image enhancing algorithm is presented based on Wiener filter of wavelet multi-scale transform in this article. Wavelet multi-scale analysis is used to decompose the image signal to different direction sub-image. It studies the different direction sub-pictorial information under the corresponding criterion by wavelet's auto-adapted Wiener filter, and enhances the image by parallel form. Through the estimation of the model parameter, combining wavelet's auto-adapted Wiener filter to denoise its corresponding coefficient of scale and its coefficient of wavelet, the enhanced image is obtained by wavelet reconstructing. The experimental result was shown that the proposed parallel scope model algorithm can retain the key image characters while removing the noise, and achieve a good enhancement of CT image.
{"title":"A Medical Image Denoising Arithmetic Based on Wiener Filter Parallel Model of Wavelet Transform","authors":"Lei Wang, Yun-Kang Zou, Hong-Jun Zhang","doi":"10.1109/CISP.2009.5304080","DOIUrl":"https://doi.org/10.1109/CISP.2009.5304080","url":null,"abstract":"For the noise, blurry Edge, bad contrast of the medical CT image, a medical CT Image enhancing algorithm is presented based on Wiener filter of wavelet multi-scale transform in this article. Wavelet multi-scale analysis is used to decompose the image signal to different direction sub-image. It studies the different direction sub-pictorial information under the corresponding criterion by wavelet's auto-adapted Wiener filter, and enhances the image by parallel form. Through the estimation of the model parameter, combining wavelet's auto-adapted Wiener filter to denoise its corresponding coefficient of scale and its coefficient of wavelet, the enhanced image is obtained by wavelet reconstructing. The experimental result was shown that the proposed parallel scope model algorithm can retain the key image characters while removing the noise, and achieve a good enhancement of CT image.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129002694","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}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5305734
B. Kong, W. Deng, H. Tao, Hua Yu
Differential evolution (DE), a population-based multi-objective evolutionary algorithm, steers optimization search through swarm intelligence produced by co-operation and competition among individuals within the swarm. With its unique memory ability, DE can track the dynamics of the current search, adjust its search strategy accordingly, and achieve good global convergence and robustness without resorting to any information characteristic of the problem in question. DE proves exceptionally useful in solving complex optimization problems which cannot be solved by conventional mathematical programming methods. This paper applies DE to the multi-objective optimal allocation of water resources, treats the optimal allocation of water resources as a simulated biological evolution process, and conducts an optimal computation in a case study, which shows that the result of DE is both reasonable and efficient.
{"title":"Design of Wetland-Ecological Corridor Using Multi-Scale Remote Sensing Image Segmentation Method","authors":"B. Kong, W. Deng, H. Tao, Hua Yu","doi":"10.1109/CISP.2009.5305734","DOIUrl":"https://doi.org/10.1109/CISP.2009.5305734","url":null,"abstract":"Differential evolution (DE), a population-based multi-objective evolutionary algorithm, steers optimization search through swarm intelligence produced by co-operation and competition among individuals within the swarm. With its unique memory ability, DE can track the dynamics of the current search, adjust its search strategy accordingly, and achieve good global convergence and robustness without resorting to any information characteristic of the problem in question. DE proves exceptionally useful in solving complex optimization problems which cannot be solved by conventional mathematical programming methods. This paper applies DE to the multi-objective optimal allocation of water resources, treats the optimal allocation of water resources as a simulated biological evolution process, and conducts an optimal computation in a case study, which shows that the result of DE is both reasonable and efficient.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129042068","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}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5302020
Jin Quan, S. Quan, Ying Shi, Z. Xue
Character segmentation is an important step in a LPR system, this paper presents a new method for character segmentation and recognition, correcting the image of license plate which uses the improved method of Hough Transform, then employs the normalization method to segment the characters of the license plate and finally utilizes a modified template matching method to recognize the characters of the license plate. The result of the experiment shows that the method presented in the paper is easy and feasible, faster in recognizable speed, performs well in segmentation, and is valuable in practical application. Keywords-License plate recognition; Projection; Templates matching; Character segmentation
{"title":"A Fast License Plate Segmentation and Recognition Method Based on the Modified Template Matching","authors":"Jin Quan, S. Quan, Ying Shi, Z. Xue","doi":"10.1109/CISP.2009.5302020","DOIUrl":"https://doi.org/10.1109/CISP.2009.5302020","url":null,"abstract":"Character segmentation is an important step in a LPR system, this paper presents a new method for character segmentation and recognition, correcting the image of license plate which uses the improved method of Hough Transform, then employs the normalization method to segment the characters of the license plate and finally utilizes a modified template matching method to recognize the characters of the license plate. The result of the experiment shows that the method presented in the paper is easy and feasible, faster in recognizable speed, performs well in segmentation, and is valuable in practical application. Keywords-License plate recognition; Projection; Templates matching; Character segmentation","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129164547","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}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5303584
Hong Zheng, Qiangqiang Sui, W. Wasfy, Lei Chen
This paper is aimed to propose a new method for the discerning of point moving targets' tracks to improve the current search strategies, which can not make full use of the entire trace information based on the domain of current point target location. By using the PRI search of least-square trace prediction, we establish a trace-fitting model based on probability and statistics. By setting the predicted position as the highest priority, the predication of movement direction as the criterion of prioritization, our method not only increases the search efficiency, but also reduces the drop alarm ratio. Then, we discuss the problem of the trace-fitting length limitation caused by the allowable continuous losing frames in the process of trace prediction. Through establishing the corresponding model, we improve the accuracy of the trace prediction, and obtain an optimal solution of the target trace-fitting number of frames.
{"title":"A New Method for the Discerning of Point Moving Targets' Tracks","authors":"Hong Zheng, Qiangqiang Sui, W. Wasfy, Lei Chen","doi":"10.1109/CISP.2009.5303584","DOIUrl":"https://doi.org/10.1109/CISP.2009.5303584","url":null,"abstract":"This paper is aimed to propose a new method for the discerning of point moving targets' tracks to improve the current search strategies, which can not make full use of the entire trace information based on the domain of current point target location. By using the PRI search of least-square trace prediction, we establish a trace-fitting model based on probability and statistics. By setting the predicted position as the highest priority, the predication of movement direction as the criterion of prioritization, our method not only increases the search efficiency, but also reduces the drop alarm ratio. Then, we discuss the problem of the trace-fitting length limitation caused by the allowable continuous losing frames in the process of trace prediction. Through establishing the corresponding model, we improve the accuracy of the trace prediction, and obtain an optimal solution of the target trace-fitting number of frames.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129356805","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}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5303978
Qingxiang Wu, R. Cai, T. McGinnity, L. Maguire, J. Harkin
The brain has the powerful capability of remembering key features of images. Based on the principle of spike timing dependent plasticity of spiking neurons and the ON/OFF pathways in the visual system, a spiking neural network is proposed to remember key features of visual images. The simulation results show that the network is capable of remembering key features according to a learning rule based on spike timing dependent plasticity. The principle of the network can be used to explain how a spiking neuron-based system can store the key features of visual images. Furthermore, the network can be applied to spiking neuron based artificial intelligent systems to support the processing visual images.
{"title":"Remembering Key Features of Visual Images Based on Spike Timing Dependent Plasticity of Spiking Neurons","authors":"Qingxiang Wu, R. Cai, T. McGinnity, L. Maguire, J. Harkin","doi":"10.1109/CISP.2009.5303978","DOIUrl":"https://doi.org/10.1109/CISP.2009.5303978","url":null,"abstract":"The brain has the powerful capability of remembering key features of images. Based on the principle of spike timing dependent plasticity of spiking neurons and the ON/OFF pathways in the visual system, a spiking neural network is proposed to remember key features of visual images. The simulation results show that the network is capable of remembering key features according to a learning rule based on spike timing dependent plasticity. The principle of the network can be used to explain how a spiking neuron-based system can store the key features of visual images. Furthermore, the network can be applied to spiking neuron based artificial intelligent systems to support the processing visual images.","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124570528","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}
Pub Date : 2009-10-30DOI: 10.1109/CISP.2009.5301086
Zhiquan Feng, Bo Yang, Yi Li, Yan Jiang, Tao Xu
D hand gesture tracking is one of the key problems in human-computer interface design and has attracted increasing attention as an alternative way to traditional input devices, such as mouses and keyboards. Generally speaking, a human hand, as a typical articulated structure, has 15 joints and high dimensionality with 26DOFs, which makes it very difficult for real time tracking. A novel approach is presented in this paper. Firstly, a basic concept, sigma point, is defined, and the way to acquire the Sigma points of a state variable is presented and further proved in detail. Then, the global human hand tracking algorithm is put forward, which combine Sigma points and optimized selection based upon particle weights. In order to improve robustness to changing light conditions, a new skin model is proposed which is based on skin luminance. At last, our experimental results demonstrate that, compared with the classical particle filtering, our method has the capacity to use smaller number of particles for higher precision. Keywords-Human hand tracking; particle filtering; high dimensionality
{"title":"A Novel Tracking Method Based on Optimized Selection","authors":"Zhiquan Feng, Bo Yang, Yi Li, Yan Jiang, Tao Xu","doi":"10.1109/CISP.2009.5301086","DOIUrl":"https://doi.org/10.1109/CISP.2009.5301086","url":null,"abstract":"D hand gesture tracking is one of the key problems in human-computer interface design and has attracted increasing attention as an alternative way to traditional input devices, such as mouses and keyboards. Generally speaking, a human hand, as a typical articulated structure, has 15 joints and high dimensionality with 26DOFs, which makes it very difficult for real time tracking. A novel approach is presented in this paper. Firstly, a basic concept, sigma point, is defined, and the way to acquire the Sigma points of a state variable is presented and further proved in detail. Then, the global human hand tracking algorithm is put forward, which combine Sigma points and optimized selection based upon particle weights. In order to improve robustness to changing light conditions, a new skin model is proposed which is based on skin luminance. At last, our experimental results demonstrate that, compared with the classical particle filtering, our method has the capacity to use smaller number of particles for higher precision. Keywords-Human hand tracking; particle filtering; high dimensionality","PeriodicalId":263281,"journal":{"name":"2009 2nd International Congress on Image and Signal Processing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124648773","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}
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