Rim Ayari, A. Ben Abdallah, F. Ghorbel, M. H. Bedoui
{"title":"Analysis of Regional Deformation of the Heart's Left Ventricle Using Curvature Values with Hotelling T2 Metric","authors":"Rim Ayari, A. Ben Abdallah, F. Ghorbel, M. H. Bedoui","doi":"10.1109/CGIV.2016.31","DOIUrl":"https://doi.org/10.1109/CGIV.2016.31","url":null,"abstract":"This paper presents a robust method of local deformation analysis of the heart's left ventricle (LV) aimed at specifying the affected area. Our method is based on regional curvature variation calculation using the Hotelling T2 two samples difference metric. It has been validated with real data obtained from myocardial scintigraphy imaging techniques of 44 patients. For each patient we extract 3D surfaces representing the anatomical structures of interest, namely the endocardium and epicardium at stress. In order to progress to a regional analysis, we carried out, for each patient, a division into 17 regions according to the AHA standard. Experimental results demonstrate the great robustness and efficiency of our method.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116521728","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}
Arij Debbich, Asma Kerkni, A. Ben Abdallah, R. Salem, P. Clarysse, M. H. Bedoui
{"title":"Hemodynamic Modeling in a Stenosed Internal Carotid Artery","authors":"Arij Debbich, Asma Kerkni, A. Ben Abdallah, R. Salem, P. Clarysse, M. H. Bedoui","doi":"10.1109/CGIV.2016.75","DOIUrl":"https://doi.org/10.1109/CGIV.2016.75","url":null,"abstract":"This paper deals with patient-specific blood flow modeling in a stenosed internal carotid artery (ICA). An ICA stenosis has an impact on hemodynamic behavior. It can hamper the brain irrigation and even cause a stroke. Our aim is to predict the blood flow behavior through computational fluid dynamic (CFD) study. The proposed approach realizes a hemodynamic modeling within a geometric carotid model build from a 3D computed tomography angiography image with blood considered as a Newtonian and incompressible fluid, and the wall as rigid. The blood flow modeling is based on the Navier-Stokes equation. A Womersley velocity profile is used as a boundary condition in the common carotid artery. Main results of this study are the following: (1) velocity is maximum in stenosis and minimum in the sinus, (2) pressure is negative on the most of carotid artery bifurcation unless the post-stenotic site.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115059381","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}
I. Slim, H. Akkari, A. Ben Abdallah, I. Bhouri, E. Lespessailles, R. Jennane, M. H. Bedoui
{"title":"Trabecular Bone Radiograph Characterization Using Lacunarity Measurement","authors":"I. Slim, H. Akkari, A. Ben Abdallah, I. Bhouri, E. Lespessailles, R. Jennane, M. H. Bedoui","doi":"10.1109/CGIV.2016.45","DOIUrl":"https://doi.org/10.1109/CGIV.2016.45","url":null,"abstract":"Osteoporosis is a disease characterized by low bone mass and deterioration of micro-architectural bone tissue, which provokes an increased risk of fracture. This work treats the texture characterization of trabecular bone radiographs. The goal is to analyse according to clinical research a group of 174 subjects: 87 osteoporotic patients with various bone fracture types and 87 healthy subjects. In order to characterize osteoporosis, a method of lacunarity measurement for grayscale image is used. This approach allowed the discrimination between healthy subjects and patients with osteoporosis. The results show an improved classification rate compared to another work [1].","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134085945","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}
Ibrahim Ouahbi, H. Darhmaoui, F. Kaddari, A. Elachqar, Soufiane Lahmine
{"title":"Pre-service Teachers' Perceptions and Awareness toward Serious Games in the Classroom - Case of Morocco","authors":"Ibrahim Ouahbi, H. Darhmaoui, F. Kaddari, A. Elachqar, Soufiane Lahmine","doi":"10.1109/CGIV.2016.89","DOIUrl":"https://doi.org/10.1109/CGIV.2016.89","url":null,"abstract":"We conducted a study on the perception towards videogames among pre-service teachers in three Regional Teachers' Training Centers in Morocco (Centres Régionaux des Métiers de l'Education et de la Formation (CRMEF)). 180 pre-service teachers responded to our primary general survey which mainly focused on their perceptions and attitudes towards the integration of video games in the classroom. We then conducted two training and sensitization sessions with 40 of these trainees on how to make and integrate games in the classroom. We centered our training sessions on the use of the SCRATCH tool which is an open source environment facilitating videogame creation. At the end of these training sessions, we conducted another survey to measure the evolution of their perceptions towards educational video games. This comparative study showed a considerable progress and a better awareness of these pre-service teachers about the potential of serious games in the classroom. All participants appreciated Scratch and its potential as a learning environment. They highlighted the importance of including serious games in class and their need for extra training on the subject. Two of these pre-service teachers, lately adopted this innovative approach and implemented it in their final projects. They have developed and successfully experimented one mathematics lesson using the serious game \"Timez ATTACK\" with grade three students.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132733197","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}
Ansam Ennaciri, M. Erritali, M. Mabrouki, Jamaa Bengourram
{"title":"Performance Analysis of Streaming Video over Vehicular Ad-Hoc","authors":"Ansam Ennaciri, M. Erritali, M. Mabrouki, Jamaa Bengourram","doi":"10.1109/CGIV.2016.79","DOIUrl":"https://doi.org/10.1109/CGIV.2016.79","url":null,"abstract":"Nowadays Vehicular Ad hoc Networks is one of the most promising application areas of the wireless networks, able to organize without predefined infrastructure. In particular, the transmission of video data in the ad-hoc represents a major issue due to the immense enrichment by the video information of the quality of experience perceived by the user and knowledge of the environment in many applications such as emergency video calls, road traffic conditions, tourist information, etc. However, the video data transmission in Vehicular Ad-Hoc Network is a difficult task, because of the stringent Quality of Service requirements of video traffic. It then becomes necessary to establish specific transmission strategies to get over this problematic. Accordingly, we are looking forward in this work about the quality of service that allows the evaluation of the performance of a streaming transmission especially in real time. This concept of service quality will have to confront more constraints when it comes to ad-hoc networks. At the same time we are interested to the Mobility analysis in vehicular ad-hoc network and simulation of various performance factors in terms of bandwidth, loss rate, end-to-end packet delay, packet jitter and throughput of several subscriber vehicles over ad-hoc networks. Our simulation is performed using the simulator OPNET Modeler in order to control the nature of multimedia traffic in our simulations on different protocols.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129327943","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}
A. Dahmouni, N. Aharrane, K. El Moutaouakil, K. Satori
{"title":"Face Recognition Using Local Binary Probabilistic Pattern (LBPP) and 2D-DCT Frequency Decomposition","authors":"A. Dahmouni, N. Aharrane, K. El Moutaouakil, K. Satori","doi":"10.1109/CGIV.2016.23","DOIUrl":"https://doi.org/10.1109/CGIV.2016.23","url":null,"abstract":"Facial biometrics is an active modality that uses the face characteristics as argument of person identification. In this paper, we propose a new face recognition system basing on the Local Binary Probabilistic Pattern (LBPP) face representation and the global 2D-DCT frequency methods. The Local Binary Probabilistic Pattern is an alternative of the famous LBP descriptor which uses the confidence interval concept to evaluate the current pixel. Then the LBPP transformed images are decomposed in the frequency domain at 2D-DCT method to build a reduce features vector. The suggested approach is tested on ORL and Yale databases. The obtained results are very encouraging: 95.5% for ORL and 100% for Yale databases recognition rate.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122192754","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}
{"title":"Cloud Motion Estimation in Satellite Image Sequences by Tracking Skeleton Critical Points Using Lucas-Kanade Method","authors":"Hassan Id Ben Idder, Nabil Laachfoubi","doi":"10.1109/CGIV.2016.42","DOIUrl":"https://doi.org/10.1109/CGIV.2016.42","url":null,"abstract":"In this work we propose a new approach to estimate motion of clouds from satellite images using tools from digital geometry in combination with tools from computer vision field. The idea is to represent clouds by their binary skeleton and then to track the critical points of the pruned skeleton using optical flow estimation approach, particularly using the Lucas-Kanade method which generates a sparse motion field of a set of feature points. The critical points of the skeleton can easily tell which pixel is suitable to be tracked by the optical flow algorithm. Our method is motivated by the fact that critical points of a binary skeleton can carry information about the global structure of an object. In the specific context of meteorological imagery, the information about clouds shape and their topology is embedded in the critical points of the skeleton which makes them more suitable for determining the good features to track by an optical flow algorithm.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127727920","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}
Manel Jarrar, Asma Kerkeni, A. Ben Abdallah, M. H. Bedoui
{"title":"MLP Neural Network Classifier for Medical Image Segmentation","authors":"Manel Jarrar, Asma Kerkeni, A. Ben Abdallah, M. H. Bedoui","doi":"10.1109/CGIV.2016.26","DOIUrl":"https://doi.org/10.1109/CGIV.2016.26","url":null,"abstract":"The choice of a segmentation method depends on several considerations, namely the nature of the image, the primitives to extract and the segmentation methods. We propose an MLP-basis neuronal approach for the choice of the segmentation method taking into account the nature of the input image. First, an evaluation of the quality of segmentation by different methods and using various criteria of evaluation was carried out. Then, a characterization of images, based on some objective parameters, was performed. The resulting descriptors will be used as input to the neuronal approach to associate each type of image with the adequate segmentation method after learning. We report the results of the intelligent segmentation method choice obtained on different databases of medical images. The discussion of these encouraging results allowed us to improve our success rate and cover all varieties of images.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130480525","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}
{"title":"An Improvable Structure for Similarity Searching in Metric Spaces: Application on Image Databases","authors":"Y. Hanyf, H. Silkan, H. Labani","doi":"10.1109/CGIV.2016.22","DOIUrl":"https://doi.org/10.1109/CGIV.2016.22","url":null,"abstract":"In last decades, the similarity search is very required in various fields such as pattern recognition, security, and multimedia databases. Although the metric approach usefulness for speeding similarity search in complex databases, the searching cost optimization still an open problem. In this paper we propose an improvable pivot-based method which can improve its research efficiency based on the past users' queries. Because images are the most data type which are concerned by the similarity search, the proposed method is tested on a real images database. The experiments show that the proposed method can significantly improve its searching efficiency relying on queries resolution.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123980748","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}
Benchaou Soukaina, M. Nasri, Fouad Aouinti, Khalid Zinedine, Ouafae El Melhaoui
{"title":"Optimization of the Attribute Vector by Genetic Approach: Application to the Classification of Characters","authors":"Benchaou Soukaina, M. Nasri, Fouad Aouinti, Khalid Zinedine, Ouafae El Melhaoui","doi":"10.1109/CGIV.2016.85","DOIUrl":"https://doi.org/10.1109/CGIV.2016.85","url":null,"abstract":"Selecting the parameters for the classification is a delicate process. We present in this paper a method for selecting the parameters by the genetic algorithm which optimizes the choice of parameters by minimizing a cost function. This function is defined by a Trace criterion. The approach is validated on some characters images. The proposed algorithm gives a fast convergence towards the optimal solution.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130963088","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}