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9 results on '"LRIT Associated Unit to the CNRST-URAC n◦ 29"'

1. A Robust Blind 3-D Mesh Watermarking Technique Based on SCS Quantization and Mesh Saliency for Copyright Protection

Author

Mohammed El Hassouni, Hocine Cherifi, Aladine Chetouani, Mohamed El Haziti, Mohamed Hamidi, Chetouani, Aladine, LRIT Associated Unit to the CNRST-URAC n◦ 29, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST), Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Université Mohammed V de Rabat [Agdal], Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement

Subjects
FOS: Computer and information sciences, Computer Science - Cryptography and Security, Computer science, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Quantization (signal processing), Data_MISCELLANEOUS, 020207 software engineering, Watermark, 02 engineering and technology, Graphics (cs.GR), Computer Science - Graphics, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Computer engineering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Polygon mesh, Vertex normal, Quantization (image processing), Digital watermarking, Cryptography and Security (cs.CR), ComputingMilieux_MISCELLANEOUS, Smoothing
Abstract

Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased in the last decade. Nowadays, the majority of robust 3-D watermarking approaches have mainly focused on the robustness against attacks while the imperceptibility of these techniques is still a serious challenge. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and scalar Costa scheme (SCS) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex norms of the 3-D mesh by SCS scheme using the vertex normal norms as synchronizing primitives. The choice of these vertices is based on 3-D mesh saliency to achieve watermark robustness while ensuring high imperceptibility. The experimental results show that in comparison with the alternative methods, the proposed work can achieve a high imperceptibility performance while ensuring a good robustness against several common attacks including similarity transformations, noise addition, quantization, smoothing, elements reordering, etc., Comment: 10 pages, 11 figures, 5th International Conference on Mobile, Secure and Programmable Networking (MSPN'2019)

Published
2019

2. Blind Robust 3-D Mesh Watermarking Based on Mesh Saliency and QIM Quantization for Copyright Protection

Author

Aladine Chetouani, Mohamed El Haziti, and Hocine Cherifi, Mohammed El Hassouni, Mohamed Hamidi, LRIT Associated Unit to the CNRST-URAC n◦ 29, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST), Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), Université Mohammed V de Rabat [Agdal], Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST), Laboratoire Electronique, Informatique et Image [UMR6306] (Le2i), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Chetouani, Aladine, Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)

Subjects
business.industry, Computer science, Watermark robustness, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Data_MISCELLANEOUS, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, Quantization index modulation, Watermark, 02 engineering and technology, Vertex (geometry), [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Quantization (image processing), Digital watermarking, Smoothing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; Due to the recent demand of 3-D models in several applications like medical imaging, video games, among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased considerably. The majority of robust 3-D watermark-ing techniques have essentially focused on the robustness against attacks while the imperceptibility of these techniques is still a real issue. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and Quantization Index Modulation (QIM) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex norms of the 3-D mesh using QIM scheme since it offers a good robustness-capacity tradeoff. The choice of the vertices is adjusted by the mesh saliency to achieve watermark robustness and to avoid visual distortions. The experimental results show the high imperceptibility of the proposed scheme while ensuring a good robustness against a wide range of attacks including additive noise, similarity transformations, smoothing , quantization, etc.

Published
2019
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3. Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Author

Mohammed El Hassouni, Mohamed El Haziti, Hocine Cherifi, Mohamed Hamidi, LRIT Associated Unit to the CNRST-URAC n◦ 29, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST), Université Mohammed V de Rabat [Agdal], Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Faculté des Lettres et Sciences humaines, and FLSH Saïs, Fès, Maroc

Subjects
FOS: Computer and information sciences, Computer Science - Cryptography and Security, Computer Networks and Communications, Computer science, Multiple Watermarking, 02 engineering and technology, Discrete Fourier transform, Image (mathematics), Digital image, Discrete Fourier transform (DFT), Scheme, Robustness (computer science), Quantization, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, Discrete cosine transform, Hybrid method, [INFO]Computer Science [cs], Digital watermarking, Discrete cosine transform (DCT), Distance, Image watermarking, 020207 software engineering, Watermark, Multimedia (cs.MM), Hardware and Architecture, Medical Images, Embedding, 020201 artificial intelligence & image processing, Arnold transform, Wavelet Domain, Svd, Cryptography and Security (cs.CR), Algorithm, Copyright protection, Software, Computer Science - Multimedia
Abstract

In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms that are the discrete Fourier transform (DFT) and the discrete cosine transform (DCT). The motivation behind this combination is to enhance the imperceptibility and the robustness. The imperceptibility requirement is achieved by using magnitudes of DFT coefficients while the robustness improvement is ensured by applying DCT to the DFT coefficients magnitude. The watermark is embedded by modifying the coefficients of the middle band of the DCT using a secret key. The security of the proposed method is enhanced by applying Arnold transform (AT) to the watermark before embedding. Experiments were conducted on natural and textured images. Results show that, compared with state-of-the-art methods, the proposed method is robust to a wide range of attacks while preserving high imperceptibility., 34 page, 17 figures, published in Multimedia Tools and Applications Springer, 2018

Published
2018
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4. A robust blind 3-D mesh watermarking based on wavelet transform for copyright protection

Author

Driss Aboutajdine, Mohamed El Haziti, Mohamed Hamidi, Hocine Cherifi, LRIT Associated Unit to the CNRST-URAC n◦ 29, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal]-Centre National de la Recherche Scientifique et Technologique (CNRST), Université Mohammed V de Rabat [Agdal], Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, and HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)

Subjects
FOS: Computer and information sciences, 0209 industrial biotechnology, Computer science, video watermarking, 02 engineering and technology, Watermarking, image watermarking, 020901 industrial engineering & automation, Wavelet, copy protection, vectors, Robustness (computer science), Computer Science::Multimedia, 0202 electrical engineering, electronic engineering, information engineering, wavelet coefficient vectors, Controlled Indexing, Computer vision, Polygon mesh, Quantization (image processing), Robustness, Digital watermarking, ComputingMilieux_MISCELLANEOUS, Computer Science::Cryptography and Security, Quantization (signal), digital watermarking, business.industry, copyright, edge normal norms, Wavelet transform, unauthorized users, Watermark, Three-dimensional meshes, Multimedia (cs.MM), mesh generation, wavelet transforms, synchronizing primitives, 3D semiregular meshes, Solid modeling, robust blind 3D mesh watermarking, 020201 artificial intelligence & image processing, Artificial intelligence, Laplacian smoothing, business, Copyright protection, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Computer Science - Multimedia, image resolution, Digital images
Abstract

Nowadays, three-dimensional meshes have been extensively used in several applications such as, industrial, medical, computer-aided design (CAD) and entertainment due to the processing capability improvement of computers and the development of the network infrastructure. Unfortunately, like digital images and videos, 3-D meshes can be easily modified, duplicated and redistributed by unauthorized users. Digital watermarking came up while trying to solve this problem. In this paper, we propose a blind robust watermarking scheme for three-dimensional semiregular meshes for Copyright protection. The watermark is embedded by modifying the norm of the wavelet coefficient vectors associated with the lowest resolution level using the edge normal norms as synchronizing primitives. The experimental results show that in comparison with alternative 3-D mesh watermarking approaches, the proposed method can resist to a wide range of common attacks, such as similarity transformations including translation, rotation, uniform scaling and their combination, noise addition, Laplacian smoothing, quantization, while preserving high imperceptibility., Comment: 6 pages, 3 figures, International Conference on Advanced Technologies for Signal and Image Processing (ATSIP'2017)

Published
2017
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5. An Efficient Tool for Automatic Delimitation of Moroccan Coastal Upwelling Using SST Images

Author

Ayoub Tamim, Abderrahman Atillah, Hussein Yahia, Khalid Minaoui, Khalid Daoudi, Driss Aboutajdine, LRIT, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST), LRIT Associated Unit to the CNRST-URAC n◦ 29, Geometry and Statistics in acquisition data (GeoStat), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre Royal de Télédétection Spatiale (CRTS), Laboratoire de Recherche en Informatique et Télécommunications [Rabat] (GSCM-LRIT), Université Mohammed V de Rabat [Agdal] (UM5), and CORDI-S grant

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, unsu-pervised classification, —Sea surface temperature image, Image segmentation, Region-growing algorithm, Geotechnical Engineering and Engineering Geology, Otsu's method, symbols.namesake, Sea surface temperature, upwelling, Oceanography, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Climatology, Moroccan atlantique coast, symbols, Upwelling, Satellite, Segmentation, Submarine pipeline, Electrical and Electronic Engineering, Cluster analysis, Geology
Abstract

International audience; An unsupervised classification method is developed for the coarse segmentation of Moroccan coastal upwelling using the Sea Surface Temperature (SST) satellite images. The algorithm is started with the generation of c-partitioned labeled image using Otsu's method for the purpose of finding regions of homogenous temperatures. Then two well-known validity indices are used to select the c-partition which best reproduce the shape of upwelling area. A region-growing algorithm is developed that is used to remove the noisy structures in the offshore waters not belonging to the upwelling area. The algorithm is used to provide a seasonal variability of upwelling activity in the southern Moroccan Atlantic coast using 70 SST images of the years 2007 and 2008. The performance of the proposed methodology has been validated by an oceanographer, showing its effectiveness for automatic delimitation of Moroccan upwelling region.

Published
2014

6. Upwelling Detection in SST Images Using Fuzzy Clustering with Adaptive Cluster Merging

Author

Tamim, Ayoub, Minaoui, Khalid, Daoudi, Khalid, Atillah, Abderrahman, Yahia, Hussein, Aboutajdine, Driss, LRIT, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST), LRIT Associated Unit to the CNRST-URAC n◦ 29, Geometry and Statistics in acquisition data (GeoStat), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre Royal de Télédétection Spatiale (CRTS), Laboratoire de Recherche en Informatique et Télécommunications [Rabat] (GSCM-LRIT), and Université Mohammed V de Rabat [Agdal] (UM5)

Subjects
AVHRR, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, ComputingMethodologies_PATTERNRECOGNITION, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Sea Surface Temperature, Index Terms—Upwelling, Clustering, Adaptive cluster merging
Abstract

International audience; The current paper explores the applicability of the Fuzzy c-means (FCM) clustering, using an adaptive cluster merging, for the problem of detecting the Moroccan coastal upwelling areas in Sea Surface Temperature (SST) Satellite images. The process is started with the application of FCM clustering method to the SST image with a sufficiently large number of clusters for the purpose of labelling the original SST image, which constitute the input of the proposed approach. Then, the number of clusters is reduced successively by merging clusters that are similar with respect to an adaptive threshold criterion. The algorithm is applied and validated using the visual inspection carried out by an oceanographer over a database of 30 SST images, covering the southern Moroccan atlantic coast of the year 2007. The proposed methodology is shown to be promising and reliable for a majority of images used in this study.

Published
2014

7. A simple tool for automatic extraction of Moroccan coastal upwelling from Sea Surface Temperature images

Author

Ayoub Tamim, Hussein Yahia, Driss Aboutajdine, Abderrahman Atillah, Khalid Daoudi, Khalid Minaoui, Mohammed Faouzi Smiej, LRIT, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST), LRIT Associated Unit to the CNRST-URAC n◦ 29, Geometry and Statistics in acquisition data (GeoStat), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre Royal de Télédétection Spatiale (CRTS), Laboratoire de Recherche en Informatique et Télécommunications [Rabat] (GSCM-LRIT), Université Mohammed V de Rabat [Agdal] (UM5), Utilisation scientifique des images du satellites MSG acquises en temps réel (MSG-ATR), Centre National de la Recherche Scientifique (CNRS), Centre Royal de Télédétection Spatiale, IEEE, and IEEE Morocco Section

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation, Sea surface temperature, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Advanced very-high-resolution radiometer, Computer science, Climatology, Upwelling, Extraction (military), Satellite, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; This work aims at automatically identify and ex- tract the region covered by the upwelling waters in the costal ocean of Morocco using the well known region-growing segmen- tation algorithm. The later consists in coarse segmentation of upwelling area which characterized by cold and usually nutrient- rich water near the coast. The complete system has been validated by an oceanographer over a database of 30 Sea Surface Tem- perature (SST) satellite images of the year 2007 obtained from Advanced Very High Resolution Radiometer (AVHRR) sensor onboard NOAA-18 satellite serie, demonstrating its capability and effectiveness to reproduce the shape of upwelling area.

Published
2014
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8. A SIMPLE AND EFFICIENT APPROACH FOR COARSE SEGMENTATION OF MOROCCAN COASTAL UPWELLING

Author

Tamim, A., Minaoui khalid, Daoudi, K., Yahia, H., Atillah, A., Smiej, M. F., Aboutajdine, D., LRIT, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST), LRIT Associated Unit to the CNRST-URAC n◦ 29, Geometry and Statistics in acquisition data (GeoStat), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre Royal de Télédétection Spatiale (CRTS), Utilisation scientifique des images du satellites MSG acquises en temps réel (MSG-ATR), Centre National de la Recherche Scientifique (CNRS), Centre Royal de Télédétection Spatiale, Laboratoire de Recherche en Informatique et Télécommunications [Rabat] (GSCM-LRIT), and Université Mohammed V de Rabat [Agdal] (UM5)

Subjects
ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Upwelling, sea surface temperature, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, unsupervised classification, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, segmentation, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; In this work, we aim to develop a simple and fast algorithm using conventional methods in images segmentation for the automatic detection and extraction of upwelling areas, in the coastal region of Morocco, from the sea surface temperature (SST) satellite images. Our approach is based on the evalua- tion and comparison between two unsupervised classification methods, Otsu and Fuzzy C-means, and explores the appli- cability of these methods to our classification problem. The latter consists in coarse detection of the main thermal front that separates coastal cold upwelling waters from the remain- ing ocean waters. The algorithm has been applied and val- idated by an oceanographer over a database of 66 SST im- ages corresponding to southern Moroccan coastal upwelling of the years 2004, 2005, 2007 and 2009. The results indicate that the proposed algorithm revealed is promising and reli- able on different upwelling scenarios and for a wide variety of oceanographic conditions.

Published
2013

9. On detectability of Moroccan coastal upwelling in Sea Surface Temperature satellite images

Author

Ayoub Tamim, Khalid Daoudi, Khalid Minaoui, Abderrahman Atillah, Driss Aboutajdine, LRIT, Laboratoire de Recherche Informatique et Télécommunications (LRIT), Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST)-Université Mohammed V de Rabat [Agdal] (UM5)-Centre National de la Recherche Scientifique et Technologique (CNRST), LRIT Associated Unit to the CNRST-URAC n◦ 29, Geometry and Statistics in acquisition data (GeoStat), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre Royal de Télédétection Spatiale (CRTS), Laboratoire de Recherche en Informatique et Télécommunications [Rabat] (GSCM-LRIT), Université Mohammed V de Rabat [Agdal] (UM5), and French-Moroccan research program Volubilis (MA/11/256) and the project n°MPI 12/2010.

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Fuzzy clustering, Upwelling, Gustafson-Kessel clustering algorithm, Filter (signal processing), Noise, Sea surface temperature, area opening, sea surface temperature, validity indices, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Climatology, fuzzy clustering, Satellite, Submarine pipeline, Cluster analysis, Geology
Abstract

International audience; This work aims at automatically identify the upwelling areas in coastal ocean of Morocco using the Sea Surface Temperature (SST) satellite images. This has been done by using the fuzzy clustering technique. The proposed approach is started with the application of Gustafson-Kessel clustering algorithm in order to detect groups in each SST image with homogenous and non-overlapping temper-ature, resulting in a c-partitioned labeled image. Cluster validity indices are used to select the c-partition that best reproduces the shape of upwelling areas. An area opening technique is developed that is used to filter out the residuals noise and fine structures in offshore waters not belonging to the upwelling regions. The de-veloped algorithm is applied and adjusted over a database of 70 SST images from years 2007 and 2008, covering the southern part of Moroccan atlantic coast. The system was evaluated by an oceanographer and provided acceptable results for a wide variety of oceanographic conditions.

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