Pub Date : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931499
Q. B. Do, Azeddine Beghdadi, M. Luong
A common framework is proposed for Gaussian, unilateral, bilateral and non-local means filters. A new denoising method is then introduced for removing additive independent Gaussian noise. It is adapted and applied for filtering signal-dependent noise such as film grain noise. The main idea is to transform the signal-dependent into independent additive Gaussian noise using a nonlinear transformation prior to filtering. The obtained results clearly demonstrate the efficiency of the proposed method.
{"title":"A new patch-based approach for noise filetring","authors":"Q. B. Do, Azeddine Beghdadi, M. Luong","doi":"10.1109/WOSSPA.2011.5931499","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931499","url":null,"abstract":"A common framework is proposed for Gaussian, unilateral, bilateral and non-local means filters. A new denoising method is then introduced for removing additive independent Gaussian noise. It is adapted and applied for filtering signal-dependent noise such as film grain noise. The main idea is to transform the signal-dependent into independent additive Gaussian noise using a nonlinear transformation prior to filtering. The obtained results clearly demonstrate the efficiency of the proposed method.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128399131","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 : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931430
M. El kateb Amar, R. Ternifi, J. Remeniéras
It is well known that the pulsatile motion of brain parenchyma results from cardiac and breathing cycles. The brain displaces in three directions, mediolateral, anteroposterior and cephalocaudal. We propose in this work to measure 2D displacement vector (mediolateral and anteroposterior componenst) of an imaged area of the brain through the right temporal window. A 2D speckle tracking based on the phase zero-crossing detection of correlation was applied to RadioFrequency signals to estimate the displacement vector. However, unlike the axial direction, the fundamental limitation for lateral tracking motion is the lack of RadioFrequency phase information. The synthetic lateral phase (SLP) technique was then used to create synthetic phase in this direction. Zero-crossing detection was then applied to the 2D complex phase of the synthetic RF signal. The advantage of SLP technique is that there is no need to modify the emission/reception ultrasound process to create synthetic phase in the lateral direction
{"title":"Brain tissue motion estimation: 2D speckle tracking using synthetic lateral phase technique","authors":"M. El kateb Amar, R. Ternifi, J. Remeniéras","doi":"10.1109/WOSSPA.2011.5931430","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931430","url":null,"abstract":"It is well known that the pulsatile motion of brain parenchyma results from cardiac and breathing cycles. The brain displaces in three directions, mediolateral, anteroposterior and cephalocaudal. We propose in this work to measure 2D displacement vector (mediolateral and anteroposterior componenst) of an imaged area of the brain through the right temporal window. A 2D speckle tracking based on the phase zero-crossing detection of correlation was applied to RadioFrequency signals to estimate the displacement vector. However, unlike the axial direction, the fundamental limitation for lateral tracking motion is the lack of RadioFrequency phase information. The synthetic lateral phase (SLP) technique was then used to create synthetic phase in this direction. Zero-crossing detection was then applied to the 2D complex phase of the synthetic RF signal. The advantage of SLP technique is that there is no need to modify the emission/reception ultrasound process to create synthetic phase in the lateral direction","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"74 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133587110","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 : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931427
Sid Ahmed Fezza, Samira Ouddane
In this paper, a novel approach that addresses the stereo correspondence problem is proposed. Some recent techniques that transform the stereo correspondence problem to a minimization of a global energy function are based on graph cuts. These techniques based on graph cuts consider all possible disparities between minimum and maximum values for each pixel. The originality of this work is to construct a reduced graph where only some potential values in the disparity range are selected for each pixel. These values can be found using a local analysis method for stereo matching. This method allows us to reduce the size of the graph, thus reducing computation time and improving the quality of disparity map, and at the same time to make wider the disparity range.
{"title":"Fast stereo matching via graph cuts","authors":"Sid Ahmed Fezza, Samira Ouddane","doi":"10.1109/WOSSPA.2011.5931427","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931427","url":null,"abstract":"In this paper, a novel approach that addresses the stereo correspondence problem is proposed. Some recent techniques that transform the stereo correspondence problem to a minimization of a global energy function are based on graph cuts. These techniques based on graph cuts consider all possible disparities between minimum and maximum values for each pixel. The originality of this work is to construct a reduced graph where only some potential values in the disparity range are selected for each pixel. These values can be found using a local analysis method for stereo matching. This method allows us to reduce the size of the graph, thus reducing computation time and improving the quality of disparity map, and at the same time to make wider the disparity range.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130201112","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 : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931513
A. Hayar
In this paper1 we propose a new orientation and scenarios basedon the convergence of UWB and cognitive radio technologies for enabling green radio. We first present some results which show the ability of cognitive radio system to operate simultaneously with licensed systems without causing harmful degradation. In a second step, we highlight some properties of UWB propagation related to interference mitigation. In the last part of this work, we propose a new scenario based on the convergence between UWB technology and cognitive radio approach for the optimization of interference control and energy consumption.
{"title":"Some issues on cognitive radio and UWB technology convergence for enabling green networks","authors":"A. Hayar","doi":"10.1109/WOSSPA.2011.5931513","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931513","url":null,"abstract":"In this paper1 we propose a new orientation and scenarios basedon the convergence of UWB and cognitive radio technologies for enabling green radio. We first present some results which show the ability of cognitive radio system to operate simultaneously with licensed systems without causing harmful degradation. In a second step, we highlight some properties of UWB propagation related to interference mitigation. In the last part of this work, we propose a new scenario based on the convergence between UWB technology and cognitive radio approach for the optimization of interference control and energy consumption.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114204155","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 : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931519
A. Miraoui, K. Mabrouk, H. Snoussi, Asmaa Amerhaye, J. Duchêne
The aim of this work is dedicated to creating smart environments and assistance to enable elderly to live a longer and more independent life at home. One of the essential services required to maximize the intelligence of a smart environment is a low cost indoor precision localization system. This paper presents our hands-on experience based on our first phase work to build up a smart home infrastructure for the elderly. We review location tracking technology and describe the rationale behind our choice among the emerging wireless sensors technologies. Node localization is required to report the origin of events, to assist group querying of sensors, to facilitate routing and to answer questions on the network coverage. Furthermore, one of the fundamental challenges in a wireless sensor network is mobile node localization. In this work, we locate in real-time a person in an indoor environment rich in multipaths by taking into account the effects of the environment. Future research directions and challenges for improving node localization in wireless sensor networks are also discussed.
{"title":"A large scale and low cost solution for real-time indoor localisation based on wireless sensor network","authors":"A. Miraoui, K. Mabrouk, H. Snoussi, Asmaa Amerhaye, J. Duchêne","doi":"10.1109/WOSSPA.2011.5931519","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931519","url":null,"abstract":"The aim of this work is dedicated to creating smart environments and assistance to enable elderly to live a longer and more independent life at home. One of the essential services required to maximize the intelligence of a smart environment is a low cost indoor precision localization system. This paper presents our hands-on experience based on our first phase work to build up a smart home infrastructure for the elderly. We review location tracking technology and describe the rationale behind our choice among the emerging wireless sensors technologies. Node localization is required to report the origin of events, to assist group querying of sensors, to facilitate routing and to answer questions on the network coverage. Furthermore, one of the fundamental challenges in a wireless sensor network is mobile node localization. In this work, we locate in real-time a person in an indoor environment rich in multipaths by taking into account the effects of the environment. Future research directions and challenges for improving node localization in wireless sensor networks are also discussed.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116305910","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 : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931470
Nabiha Azizi, N. Farah, M. Sellami
Handwritten recognition is a very active research domain that led to several works in the literature for the Latin Writing. The current systems tendency is oriented toward the classifiers combination and the integration of multiple information sources. In this paper, we describe an approach based on diversity measures for Arabic handwritten recognition using optimized Multiple classifier system. The aim of this paper is to study Arabic handwriting recognition using the optimization of MCS based on diversity measures. This approach selects the best classifier subset from a large set of classifiers taking into account different diversity measures. The experimental results presented are encouraging and open other perspectives in the domain of classifiers selection especially speaking for Arabic Handwritten word recognition.
{"title":"Ensemble classifier construction for Arabic handwritten recongnition","authors":"Nabiha Azizi, N. Farah, M. Sellami","doi":"10.1109/WOSSPA.2011.5931470","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931470","url":null,"abstract":"Handwritten recognition is a very active research domain that led to several works in the literature for the Latin Writing. The current systems tendency is oriented toward the classifiers combination and the integration of multiple information sources. In this paper, we describe an approach based on diversity measures for Arabic handwritten recognition using optimized Multiple classifier system. The aim of this paper is to study Arabic handwriting recognition using the optimization of MCS based on diversity measures. This approach selects the best classifier subset from a large set of classifiers taking into account different diversity measures. The experimental results presented are encouraging and open other perspectives in the domain of classifiers selection especially speaking for Arabic Handwritten word recognition.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134292016","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 : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931469
A. Senouci, A. Boukabou
In this paper, a new chaotic encryption using multiple one-dimensional chaotic maps is introduced. This encryption method shows a significant improvement in terms of effi-ciency as well as security level. The proposed cryptosys-tem further produces the cipher-image having flat distribution. In the encryption phase, the pixels are encrypted using an iterative cipher module based feedback and data-dependent inputs mechanism for mixing the current encryption parameters with previously encrypted information. Some experimental results are given in order to demonstrate the efficiency of the proposed scheme. In our experimental results, a color image is evaluated. Some security analysis on the proposed image encryption scheme which demonstrated the satisfactory security of the proposed scheme, are described.
{"title":"Chaotic cryptography using external key","authors":"A. Senouci, A. Boukabou","doi":"10.1109/WOSSPA.2011.5931469","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931469","url":null,"abstract":"In this paper, a new chaotic encryption using multiple one-dimensional chaotic maps is introduced. This encryption method shows a significant improvement in terms of effi-ciency as well as security level. The proposed cryptosys-tem further produces the cipher-image having flat distribution. In the encryption phase, the pixels are encrypted using an iterative cipher module based feedback and data-dependent inputs mechanism for mixing the current encryption parameters with previously encrypted information. Some experimental results are given in order to demonstrate the efficiency of the proposed scheme. In our experimental results, a color image is evaluated. Some security analysis on the proposed image encryption scheme which demonstrated the satisfactory security of the proposed scheme, are described.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121795029","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 : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931521
Amel Hebboul, Meriem Hacini, F. Hachouf
This paper presents a novel unsupervised and parallel learning technique for data clustering that are polluted by noise using neural network approaches. The proposed approach is based on a self-organizing incremental neural network. The design of two-layer neural network enables this system to represent the topological structure of unsupervised on-line data, reports the reasonable number of clusters, and gives typical prototype patterns of every cluster without prior conditions such as a suitable number of nodes. To confirm the efficiency of the proposed learning mechanism, we present a set of experiments with artificial data sets and real world data sets.
{"title":"An incremental parallel neural network for unsupervised classification","authors":"Amel Hebboul, Meriem Hacini, F. Hachouf","doi":"10.1109/WOSSPA.2011.5931521","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931521","url":null,"abstract":"This paper presents a novel unsupervised and parallel learning technique for data clustering that are polluted by noise using neural network approaches. The proposed approach is based on a self-organizing incremental neural network. The design of two-layer neural network enables this system to represent the topological structure of unsupervised on-line data, reports the reasonable number of clusters, and gives typical prototype patterns of every cluster without prior conditions such as a suitable number of nodes. To confirm the efficiency of the proposed learning mechanism, we present a set of experiments with artificial data sets and real world data sets.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126103990","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 : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931442
R. Doraiswami, L. Cheded
In this paper, we propose an internal model principle-based Kalman filter (IMP-KF) structure for use in fault detection. We show that the closed-loop structure of the IMP-KF is a necessary and sufficient condition for generating residuals upon which the fault detection process hinges. We advocate a residual generator structure similar to that used in standard Kalman filtering (KF), and judiciously exploit the non-robustness to model mismatch of the proposed IMP-KF scheme to detect faults in the presence of noise and disturbances. With no model mismatch, the KF residual's whiteness is exploited to derive a composite hypothesis testing that accounts for a low probability of false alarm and a high probability of correct decision for various reference inputs. The proposed scheme was successfully evaluated on both simulated and lab-scale physical systems
{"title":"A proposed internal model principle-based Kalman filter for fault detection","authors":"R. Doraiswami, L. Cheded","doi":"10.1109/WOSSPA.2011.5931442","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931442","url":null,"abstract":"In this paper, we propose an internal model principle-based Kalman filter (IMP-KF) structure for use in fault detection. We show that the closed-loop structure of the IMP-KF is a necessary and sufficient condition for generating residuals upon which the fault detection process hinges. We advocate a residual generator structure similar to that used in standard Kalman filtering (KF), and judiciously exploit the non-robustness to model mismatch of the proposed IMP-KF scheme to detect faults in the presence of noise and disturbances. With no model mismatch, the KF residual's whiteness is exploited to derive a composite hypothesis testing that accounts for a low probability of false alarm and a high probability of correct decision for various reference inputs. The proposed scheme was successfully evaluated on both simulated and lab-scale physical systems","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123372346","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 : 2011-05-09DOI: 10.1109/WOSSPA.2011.5931453
Djemame Safia, B. Chawki
Cellular automata are simple models of computation which exhibit fascinatingly complex behavior. They have captured the attention of several generations of researchers, leading to an extensive body of work. The emphasis is mainly on topics closer to computer science and mathematics rather than physics, biology or other applications. Many related works were interested in cellular automata capacities in image processing, but all of them were confronted with the problem of increase of rules number towards the number of cells states. In this paper, we propose an original solution to avoid this problem, the objective is a segmentation by edge detection, applied to binary images, grey level images and real images. Comparisons are made with standard edge detector (Canny) and algorithms based on cellular automata. Obtained results are encouraging.
{"title":"Image segmentation using an emergent complex system: Cellular automata","authors":"Djemame Safia, B. Chawki","doi":"10.1109/WOSSPA.2011.5931453","DOIUrl":"https://doi.org/10.1109/WOSSPA.2011.5931453","url":null,"abstract":"Cellular automata are simple models of computation which exhibit fascinatingly complex behavior. They have captured the attention of several generations of researchers, leading to an extensive body of work. The emphasis is mainly on topics closer to computer science and mathematics rather than physics, biology or other applications. Many related works were interested in cellular automata capacities in image processing, but all of them were confronted with the problem of increase of rules number towards the number of cells states. In this paper, we propose an original solution to avoid this problem, the objective is a segmentation by edge detection, applied to binary images, grey level images and real images. Comparisons are made with standard edge detector (Canny) and algorithms based on cellular automata. Obtained results are encouraging.","PeriodicalId":343415,"journal":{"name":"International Workshop on Systems, Signal Processing and their Applications, WOSSPA","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123835405","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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