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Your search keyword '"Azza Ouled-Zaïd"' showing total 5 results
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5 results on '"Azza Ouled-Zaïd"'

1. Segmentation of 3D dynamic meshes based on Reeb graph approach

Author

Meha Hachani, Azza Ouled-Zaïd, William Puech, Ecole supérieure des communications de Tunis (SUP'COM [TUNIS]), Image & Interaction (ICAR), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), and Puech, William

Subjects
pattern clustering, Geometry, Topology, heat diffusion properties, refinement step, Heating, Reeb graph, computational geometry, Morse theory, image segmentation, curvature information, heat diffusion, diffusion, segmentation, continuous scalar function, Shape, 3D mesh surface, Reeb graph construction, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], computer graphics, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Feature extraction, Three-dimensional displays, 3D dynamic meshes, Motion segmentation, 3D dynamic articulated meshes, clustering, segmentation process, smooth function topological analysis
Abstract

International audience; This paper presents a new segmentation approach, for 3D dynamic meshes, based upon ideas from Morse theory and Reeb graphs. The segmentation process is performed using topological analysis of smooth functions defined on 3D mesh surface. The main idea is to detect critical nodes located on the mobile and immobile parts. Particularly, we define a new continuous scalar function, used for Reeb graph construction. This function is based on the heat diffusion properties. Clusters are obtained according to the values of scalar function while adding a refinement step. The latter is based on curvature information in order to adjust segmentation boundaries. Experimental results performed on 3D dynamic articulated meshes demonstrate the high accuracy and stability under topology changes and various perturbations through time.

Published
2014

2. Robust Mesh Data Hiding Based on Irregular Wavelet Transform

Author

William Puech, Meha Hachani, Azza Ouled-Zaïd, Image & Interaction (ICAR), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Ecole Nationale d'Ingénieurs de Tunis (ENIT), and Université de Tunis El Manar (UTM)

Subjects
021110 strategic, defence & security studies, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, blind watermarking, 020201 artificial intelligence & image processing, 3-D mesh, 02 engineering and technology, quantization, wavelet Transform
Abstract

International audience; We present a novel scheme for high-capacity of 3-D triangle meshes. Our proposal can be applied to meshes with arbi- trary topology by using irregular wavelet-based analysis. The secret message is inserted in an appropriate resolution level by quantizing the norms of wavelet coefficients vectors. In addition, a re-ordering process is applied as pre-processing in both embedding and extraction stages. Simulation results show that our data hiding framework is robust to common geometric attacks including the operations of the similarity transformations and achieves high data capacity with insignif- icant visual distortion.

Published
2012

3. Preliminary Results for Wireless Transmission of 3D Brain MRI images: Objective Evaluation of 3D SPIHT and JPEG2K

Author

Christian Olivier, Azza Ouled-Zaïd, D. Dhouib, M.S. Naceur, Amine Naït-Ali, SYNAPSE, Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Institut des Sciences Chimiques de Rennes (ISCR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Images, Signaux et Systèmes Intelligents ( LISSI ), Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Institut des Sciences Chimiques de Rennes ( ISCR ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Ecole Nationale Supérieure de Chimie de Rennes-Institut National des Sciences Appliquées ( INSA ) -Centre National de la Recherche Scientifique ( CNRS ), Amirat, Yacine, Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Channel (digital image), Computer science, Speech recognition, medical imaging, 02 engineering and technology, computer.software_genre, [ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], wavelet based coder, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Set partitioning in hierarchical trees, symbols.namesake, 0302 clinical medicine, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Voxel, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, Medical imaging, Wireless, Computer vision, ComputingMilieux_MISCELLANEOUS, business.industry, Image coding, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Additive white Gaussian noise, wireless transmission, Test set, symbols, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer
Abstract

International audience; In this paper, we evaluate the robustness of 3D SPIHT and JPEG2K coding algorithm over wireless transmission. For this purpose, an MRI head scan test set of 256 x 256 x 124 voxels has been used. Compressed dataset images are then transmitted over AWGN wireless channel or over Rayleigh wireless channel. Results show the superiority of JPEG2K over these two models. In fact, it has been deduced that JPEG2K is more robust regarding coding errors. Thus we may conclude the necessity of using corrector codes in order to protect the transmitted medical information.

Published
2008

4. Compression of dynamic and volumetric medical sequences

Author

Azza Ouled-Zaïd, Amine Naït-Ali, Christian Olivier, Ecole Nationale d'Ingénieurs de Tunis (ENIT), Université de Tunis El Manar (UTM), SIC, XLIM (XLIM), Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), and Wiley & ISTE Ltd

Subjects
Modalities, business.industry, Computer science, [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], Compression (functional analysis), 0206 medical engineering, [MATH.MATH-IT]Mathematics [math]/Information Theory [math.IT], Computer vision, 02 engineering and technology, Artificial intelligence, business, 020601 biomedical engineering
Published
2008
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5. A novel scheme for joint multi-channel ECG-ultrasound image compression

Author

Amine Naït-Ali, E.H. Zeybek, Azza Ouled-Zaïd, and Christian Olivier

Subjects
Electronic Data Processing, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Wavelet transform, Data_CODINGANDINFORMATIONTHEORY, Iterative reconstruction, computer.file_format, Data Compression, Electrocardiography, Wavelet, Compression ratio, JPEG 2000, Humans, ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS, Computer vision, Artificial intelligence, business, computer, Decoding methods, Algorithms, Software, Coding (social sciences), Mathematics, Data compression, Ultrasonography
Abstract

In this paper, we introduce a novel approach to compress jointly a Multi-Channel Electrocardiogram (MCE) and an ultrasound image. We will show that this technique allows better performances, in terms of compression ratio (CR) compared to coding separately both modalities. In this approach, scaled ECG samples are inserted within the high frequencies of the ultrasound image after its decomposition on wavelet basis. The new standard JPEG2000 is then applied on the packed data for both coding and decoding purpose. Finally, the reconstruction quality is evaluated using the PSNR (peak signal noise ratio) and the PRD (percent root mean square difference), respectively for both the ultrasound image and the ECG signals.

Published
2007

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