Academic literature on the topic 'Analyse de texture (imagerie)'
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Journal articles on the topic "Analyse de texture (imagerie)"
Iwaszczuk, D., and U. Stilla. "QUALITY ASSESSMENT OF BUILDING TEXTURES EXTRACTED FROM OBLIQUE AIRBORNE THERMAL IMAGERY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 1, 2016): 3–8. http://dx.doi.org/10.5194/isprsannals-iii-1-3-2016.
Full textIwaszczuk, D., and U. Stilla. "QUALITY ASSESSMENT OF BUILDING TEXTURES EXTRACTED FROM OBLIQUE AIRBORNE THERMAL IMAGERY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 1, 2016): 3–8. http://dx.doi.org/10.5194/isprs-annals-iii-1-3-2016.
Full textParadis, V. "Analyse proteomique et imagerie moleculaire." Journal de Radiologie 89, no. 10 (October 2008): 1290. http://dx.doi.org/10.1016/s0221-0363(08)75848-7.
Full textLi, Yu, Jun Liu, Ke-feng Ji, and Yi Su. "Texture Feature Extraction and Analyses for Mobile Targets in High-Resolution SAR Imagery." Journal of Electronics & Information Technology 30, no. 12 (April 25, 2011): 2809–12. http://dx.doi.org/10.3724/sp.j.1146.2007.01059.
Full textTaourel, P., and G. Laffargue. "Analyse de livre - Cas cliniques en imagerie urologique et gynécologique." Imagerie de la Femme 16, no. 2 (June 2006): 143. http://dx.doi.org/10.1016/s1776-9817(06)77534-4.
Full textLeclerc, X., J. Y. Gauvrit, J. F. Meder, and J. P. Pruvo. "Imagerie radiologique des sténoses carotidiennes asymptomatiques : quand ? Comment ? Analyse critique." Annales de Cardiologie et d'Angéiologie 53, no. 1 (January 2004): 4–11. http://dx.doi.org/10.1016/j.ancard.2003.11.003.
Full textGuyot, Adrien, Jordan P. Brook, Alain Protat, Kathryn Turner, Joshua Soderholm, Nicholas F. McCarthy, and Hamish McGowan. "Segmentation of polarimetric radar imagery using statistical texture." Atmospheric Measurement Techniques 16, no. 19 (October 12, 2023): 4571–88. http://dx.doi.org/10.5194/amt-16-4571-2023.
Full textZullino, Daniele, Gerard Calzada, Julie Gaspoz, Sophia Achab, and Gabriel Thorens. "La neurotoxicité du cannabis : analyse des données de neuro-imagerie structurelle." Psychotropes 23, no. 2 (2017): 111. http://dx.doi.org/10.3917/psyt.232.0111.
Full textPruvo, J. P., J. P. Pierme, J. P. Beregi, A. Cotten, O. Ernst, L. Lemaitre, and M. Remy-Jardin. "Analyse des activites merri migac en imagerie au chru de lille." Journal de Radiologie 87, no. 10 (October 2006): 1261. http://dx.doi.org/10.1016/s0221-0363(06)86908-8.
Full textJardri, R. "Imagerie multimodale de l’état hallucinatoire." European Psychiatry 29, S3 (November 2014): 554. http://dx.doi.org/10.1016/j.eurpsy.2014.09.354.
Full textDissertations / Theses on the topic "Analyse de texture (imagerie)"
Lopes, Renaud. "Analyses fractale et multifractale en imagerie médicale : outils, validations et applications." Thesis, Lille 1, 2009. http://www.theses.fr/2009LIL10100/document.
Full textFractal geometry is an emerging concept used in medical image analysis. The aim of this geometry is to measure global and local heterogeneities (1D, 2D or 3D). In medical imaging, it is often used to characterize 1D and 2D signals and restricted to discriminate between 2 states (healthy/pathological) by a global analysis of a signal. This thesis aims at providing 3D fractal geometry based tools for the measures of global (volume) and local (voxel) heterogeneities. Two indices are used: fractal dimension and multifractal spectrum (Hölder exponents). Since these algorithms estimate the theoretical value, fractal and multifractal synthetic volumes were used for the validation. This work also proposes texture segmentation tools. Two applications were studied; characterization of epileptic foci on single photon emission computed tomography images and the detection of prostatic tumors on T2-weighted MR images. The effectiveness of fractal and multifractal features are studied through a framework of supervised classification. The results for both applications demonstrate the usefulness of this geometry and its adaptability to several applications in medical imaging
Bekkhoucha, Abdelkrim. "Traitement d'images et analyse de texture : application à l'imagerie satellitaire." Compiègne, 1992. http://www.theses.fr/1992COMPD493.
Full textOrlhac, Fanny. "Au-delà de la mesure de SUV en imagerie TEP : propriétés et potentiel des paramètres de texture pour caractériser les tumeurs." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA112198/document.
Full textThe precise characterization of the biological heterogeneity of a tumor is a major issue in oncology. The calculation of biomarkers reflecting this heterogeneity directly from imaging data offers a number of advantages: it is non-invasive, can be repeated during the therapy, does not require supplementary examinations and the whole tumor and possible metastases can be investigated from the images. My research project was to develop and assess methods to characterize the metabolic activity distribution in tumors.Texture analysis based on PET images requires a protocol to compute index that is somehow more sophisticate than when simply measuring the conventional index used in clinical practice. To determine the role of the different steps that are involved in the computation of texture index, a methodological study was conducted. This study demonstrated that some texture parameters were redundant and that there existed a strong correlation between some of them and the metabolic volume. We have also shown that the formula and the rate of discretization impact the texture analysis and clarified the interpretation of these metrics. After the protocol of texture index computation has been established, the second part of this work was to assess the interest of these indices for the tumor characterization. We showed that some texture indices were different in tumor and in healthy tissue and could identify histological types such as the triple-negative breast tumors, the squamous cell carcinoma from adenocarcinoma in lung tumors, as well as the grade of gliomas.To understand the links between the tumor heterogeneity as measured from PET images and the biological heterogeneity of lesions, we compared the texture analysis based on different scales in a mouse model. This study revealed that the texture measured in vivo based on PET images reflects the texture measured ex vivo from autoradiographic images
Rolland, Yan. "Elements de perception , de modelisation et d'analyse de texture (doctorat : biologie et sciences de la sante)." Rennes 1, 1997. http://www.theses.fr/1997REN1B022.
Full textBensemra-Zegadi, Nacera. "Analyse spectrale locale d'images texturées par transformation en ondelettes : application à la quantification de textures osseuses." Lyon, INSA, 1998. http://www.theses.fr/1998ISAL0042.
Full textTexture is naturally a multi-scale notion which is linked to a human observant. In its classical form, wavelet transform (WT) is a multi-scale representation. It permits a hierarchical texture observation, in a global and a local manner, similar at the human vision and which characterise spatial interactions into-scale. We focus also on a second interpretation of WT as a frequency analysis tool. Space-frequency transformations associate a local frequential spectrum to each point of the image. Thus, spectrogram, Gabor transform, Wigner-Ville transform and the quadratic form of WT can be defined for images in a class of energetic representations. Relationships between these transformations can be expressed by means of the Wigner-Ville transform, which plays a central theoretical role. A Mellin-Fourier transform based technique is proposed. The obtained spectral representation is well adapted to texture analysis. It allows extracting a large number of frequential parameters from local spectra. Moreover, parameters characterising orientation and anisotropy are proposed and illustrated with natural textures. WT is also well suited to estimate -the fractal dimension. This last parameter permits to characterise the roughness texture. The textural approach is a non invasive method which is particularly interesting to quantify structural variations due to vertebra aging. We have used local analysis methods and some global ones on radiological images of vertebra (obtained in high resolution tomography and in sagital micro-radiography), which contains different directional informations
Bacle, Guillaume. "Les muscles infraspinatus et teres minor : anatomie, analyse de texture en imagerie IRM et comportement viscoélastique en élastographie ultrasonore." Thesis, Tours, 2016. http://www.theses.fr/2016TOUR3301/document.
Full textInfraspinatus and teres minor muscles are crucial functionally and are regularly impaired in the context of of the rotator cuff pathology. The proportion of fatty tissue in the infraspinatus is currently a strong prognosis criterion of functional outcomes of rotator cuff tendon repair. The goals of this work are to characterize these muscles anatomically, to provide a better exploration of their morphology by MRI, to use computer texture analysis to objectify their composition and finally to use the ultrasound elastography for analysing their viscoelastic behaviour under stress. Infraspinatus and teres minor muscles have a tripennate and parallel organization, respectively. Routine MRI acquisition criteria can be easily optimized to analyse more precisely the external rotator muscles. Texture analysis seems promising to assess the proportion of fatty tissue in the skeletal muscle. The ultrasound elastography allows us to estimate the degree of muscle anisotropy, and therefore the state of organization of the infraspinatus muscle
Afdel, Karim. "Conception d'outils d'analyse quantitative d'images pour la biologie moléculaire et la dermatologie." Aix-Marseille 3, 1994. http://www.theses.fr/1994AIX30072.
Full textEliat, Pierre-Antoine. "Analyse de texture et relaxométrie dynamique pour la caractérisation tissulaire en IRM : applications aux tumeurs mammaires et cérébrales." Rennes 1, 2002. http://www.theses.fr/2002REN1B066.
Full textDecourselle, Thomas. "Etude et modélisation du comportement des gouttelettes de produits phytosanitaires sur les feuilles de vignes par imagerie ultra-rapide et analyse de texture." Phd thesis, Université de Bourgogne, 2013. http://tel.archives-ouvertes.fr/tel-00949360.
Full textTouvier, Jérôme. "Analyse de la texture osseuse trabéculaire : application au diagnostic de l''ostéoporose et de l''arthrose." Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2011.
Full textWe have evaluated the added value of trabecular bone radiography's texture analysis to improve osteoporosis diagnosis and osteoarthritis prognosis. Firstly, fracture discrimination by combined Bone Mineral Density (BMD) and microarchitectural texture analysis has been studied. The Spine Trabecular Bone Score (TBS) and calcaneus mean Hurst parameter (H) has been assessed. The texture parameters have helped to classify a subset of non-osteoporotic women into a group with a higher risk of fractures. Secondly, preprocessing or filtering methods have been used to improve bone texture analysis. One of the latest variational decomposition model has been compared to classical filtering methods. Preprocessing improve some texture features but among them the fractal parameter H is more reliable since it doesn't need preprocessing to obtain the same performance. At last, the predictive ability of texture analysis with respect to knee osteoarthritis progression has been studied from digitalized radiography. The progression of knee osteoarthritis has been evaluated by the change in Kellgren and Lawrence scale at 4 years. The fractal signature and entropy assessed on lateral tibiofemoral compartment have been significantly associated with knee osteoarthritis progression
Books on the topic "Analyse de texture (imagerie)"
Cassaing, Frédéric. Analyse d'un instrument à synthèse d'ouverture optique: Méthode de cophasage et imagerie à haute résolution angulaire. Chatillon: Office national d'études et de recherches aérospatiales, 1998.
Find full textCapture, Canada Image Generation and. Report of Working Group 2, Medical Imaging Technology Roadmap. Ottawa, Ont: Industry Canada, 2001.
Find full textCanada, Canada Industry, ed. Image generation and capture: Report of working group 2 : medical imaging technology roadmap. Ottawa: Industry Canada, 2001.
Find full textGetting started in 3D with Maya: Create a project from start to finish--model, texture, rig, animate, and render in Maya. Waltham, MA: Focal Press, 2012.
Find full textA, Quattrochi Dale, and Luvall Jeffrey C, eds. Thermal remote sensing in land surface processes. Boca Raton: CRC Press, 2004.
Find full textKevin, Ring, ed. 3D engine design for virtual globes. Boca Raton, FL: CRC Press, 2011.
Find full textHans, Grahn, and Geladi Paul, eds. Techniques and applications of hyperspectral image analysis. Chichester, West Sussex, England: J. Wiley, 2007.
Find full textT, Hubbard Arthur, ed. The Handbook of surface imaging and visualization. Boca Raton: CRC Press, 1995.
Find full textJähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. Berlin: Springer-Verlag, 1991.
Find full textDigital image processing. 6th ed. Berlin: Springer, 2005.
Find full textBook chapters on the topic "Analyse de texture (imagerie)"
Chan, Sophal, and Kwankamon Dittakan. "Osteoarthritis Stages Classification to Human Joint Imagery Using Texture Analysis: A Comparative Study on Ten Texture Descriptors." In Communications in Computer and Information Science, 209–25. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9184-2_19.
Full textLi, Hongfen, Guangdao Hu, and Jiang-feng Li. "Multi-Classifier Systems (MCSs) of Remote Sensing Imagery Classification Based on Texture Analysis." In Advances in Computation and Intelligence, 740–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92137-0_81.
Full textLähdesmäki, Tuuli, Jūratė Baranova, Susanne C. Ylönen, Aino-Kaisa Koistinen, Katja Mäkinen, Vaiva Juškiene, and Irena Zaleskiene. "Cultural Literacy During COVID-19." In Learning Cultural Literacy through Creative Practices in Schools, 117–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89236-4_8.
Full textdel Campo-Becerra, Gustavo D. Martín, Juan I. Yañez-Vargas, and Josué A. López-Ruíz. "Texture Analysis of Mean Shift Segmented Low-Resolution Speckle-Corrupted Fractional SAR Imagery through Neural Network Classification." In Advanced Information Systems Engineering, 998–1005. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-319-12568-8_121.
Full textHeinonen, Johanna, Jade Myburgh, and Maria Murto. "Transformative Communication on Webpages from the Eudaimonic Perspective." In Information and Communication Technologies in Tourism 2024, 207–17. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-58839-6_22.
Full textChalabi, Aicha, Grisel Jimenez Soto, and Bernard J. Pierson. "Spatial Distribution of Sedimentary Facies on Modern Carbonate Platforms Interpreted via Remote Sensing, Northwest Celebes Sea, Malaysia." In Cenozoic Isolated Carbonate Platforms—Focus Southeast Asia, 147–63. SEPM (Society for Sedimentary Geology), 2023. http://dx.doi.org/10.2110/sepmsp.114.15.
Full textJACQUEMONT, Mikaël, Thomas VUILLAUME, Alexandre BENOIT, Gilles MAURIN, and Patrick LAMBERT. "Analyse d’images Cherenkov monotélescope par apprentissage profond." In Inversion et assimilation de données de télédétection, 303–35. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9142.ch9.
Full text"Textual Analysis on Emotions and Imagery in Zibuyu." In Zibuyu, “What The Master Would Not Discuss”, according to Yuan Mei (1716 - 1798): A Collection of Supernatural Stories (2 vols), 1225–66. BRILL, 2013. http://dx.doi.org/10.1163/9789004216280_028.
Full textMcCafferty, Sharisse D., and Geoffrey G. McCafferty. "Weaving Space: Textile Imagery and Landscape in the Mixtec Codices." In Space and Spatial Analysis in Archaeology, 333–41. University of Calgary Press, 2006. http://dx.doi.org/10.1515/9781552384534-035.
Full textPHAM, Minh-Tan, and Grégoire MERCIER. "Détection de changements sur les graphes de séries SAR." In Détection de changements et analyse des séries temporelles d’images 1, 183–219. ISTE Group, 2022. http://dx.doi.org/10.51926/iste.9056.ch7.
Full textConference papers on the topic "Analyse de texture (imagerie)"
Hû, Olivier, Christine Cavaro-Ménard, and Lindsey Cooper. "Analyse de la tâche de diagnostic et évaluation d'IHM en imagerie médicale." In 23rd French Speaking Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2044354.2044365.
Full textLiu, Xiaoshan, Qing Liu, and Guolan Fu. "Texture analyse based on coefficients' relationship co-occurrence histogram." In 2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics 2009). IEEE, 2009. http://dx.doi.org/10.1109/cadcg.2009.5246832.
Full textBlake, A. P. "Texture simulation and analysis in coherent imagery." In Fifth International Conference on Image Processing and its Applications. IEE, 1995. http://dx.doi.org/10.1049/cp:19950764.
Full textBoukais, H., S. Taright, W. Zerrouki, and M. Belguidoum. "Faut-il systématiquement recourir à une "imagerie de luxe" pour l'avulsion chirurgicale des dents de sagesse mandibulaires ? Résultats d'une analyse sur 285 cas." In 56ème Congrès de la SFMBCB. Les Ulis, France: EDP Sciences, 2011. http://dx.doi.org/10.1051/sfmbcb/20115603010.
Full textPeyret, Remy, Ahmed Bouridane, Somaya Ali Al-Maadeed, Suchithra Kunhoth, and Fouad Khelifi. "Texture analysis for colorectal tumour biopsies using multispectral imagery." In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2015. http://dx.doi.org/10.1109/embc.2015.7320057.
Full textBascoy, Pedro G., Alberto S. Garea, Dora Blanco Heras, Francisco Argüello, and Alvaro Ordóñez. "Texture-based analysis of hydrographical basins with multispectral imagery." In Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI, edited by Christopher M. Neale and Antonino Maltese. SPIE, 2019. http://dx.doi.org/10.1117/12.2532760.
Full textLei, Fuqiang, Wenliang Wang, Wei Zhang, Kaisheng Li, and Zhihua Xu. "Oil Spills Tracking Through Texture Analysis from MODIS Imagery." In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8898595.
Full textRadhika, S., Y. Tamura, and M. Matsui. "Texture-wavelet analysis for automating wind damage detection from aerial imageries." In 2013 3rd IEEE International Advanced Computing Conference (IACC 2013). IEEE, 2013. http://dx.doi.org/10.1109/iadcc.2013.6514406.
Full textYang, S., Y. Wang, and C. Shrivastava. "Sedimentary Analysis Via Automatic Image Segmentation and Clustering with the LWD OBM Resistivity Image: A Case Study from Gulf of Mexico." In SPE Annual Technical Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/214908-ms.
Full textJoseph, Manoj, P. V. Jayasri, Sauvic Dutta, E. V. S. Sita Kumari, and A. V. V. Prasad. "Oil spill detection from RISAT-1 imagery using texture analysis." In 2016 Asia-Pacific Microwave Conference (APMC). IEEE, 2016. http://dx.doi.org/10.1109/apmc.2016.7931359.
Full textReports on the topic "Analyse de texture (imagerie)"
Fader, G. B. J., R. O. Miller, and B. J. Todd. Making a three-dimensional model of Halifax Harbour, Nova Scotia, Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331507.
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