Relevant bibliographies by topics / Analyse image

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Analyse image'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Analyse image"

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Akoum, Alhussain, Samia Bahlak, and Nagham Abou Daher. "Image Forgery Analyse and Detection." International Journal of Computer Science and Engineering 8, no. 8 (August 25, 2021): 8–12. http://dx.doi.org/10.14445/23488387/ijcse-v8i8p102.

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Bartels, U., W. Friedmann, C. Minguillon, and U. Büscher. "Image-zytophotometrische DNA-Analyse beim Mammakarzinom." Archives of Gynecology and Obstetrics 254, no. 1-4 (December 1993): 822–23. http://dx.doi.org/10.1007/bf02266191.

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Bell, Peter, and Leonardo Impett. "Ikonographie und Interaktion. Computergestützte Analyse von Posen in Bildern der Heilsgeschichte." Das Mittelalter 24, no. 1 (July 11, 2019): 31–53. http://dx.doi.org/10.1515/mial-2019-0004.

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Abstract The last few years have seen an explosion of medieval images in digital form, chiefly as a result of photo-library and manuscript digitisation projects. An entire corpus of images, even selected solely by scene or iconography, becomes an unwieldy object of study by traditional art-historical means. This is even more the case for medieval images, where authorship and dating are often cloudy and unclear, and the image itself is in many cases the first resource for scholarly inquiry.We take the digital image – in particular, the digital image of the body – as our object of study in a wide-ranging computationally-augmented reading of an image-corpus; ours is made up of thousands of depictions of the ‘Annunciation’ and ‘Baptism’, selected not only for their primacy in Christian art but for their dialogical interaction. Our corpus of 6,564 ‘Annunciations’ and 883 ‘Baptisms’, whilst not necessarily representative in density, includes a wide range of stylistic, theological and historical tendencies.We computationally extract not only body images but poses, gestures and interactions. Such a range of gestures allows for a morphological treatment of bodily motifs, whose multi-dimensional, quantitative nature allows us to complicate and problematise iconographic taxonomies, populating the spaces between categories. Finally, our gestural manifolds provide a morphological pointer to dissecting the microtemporalities of the scenes, and their relative dynamics and inconsistencies.
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Dany, L., T. Apostolidis, P. Cannone, E. Suarez-Diaz, and F. Filipetto. "Image corporelle et cancer: une analyse psychosociale." Psycho-Oncologie 3, no. 2 (June 2009): 101–17. http://dx.doi.org/10.1007/s11839-009-0128-y.

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Padma Usha M, Kannan G, Ramamoorthy M, Sharmila M, Huzaifa Anjum G.A, and Hairunnisha M.S.H. "Multimodal Brain Image Fusion using Graph Intelligence Method." International Journal of Research in Pharmaceutical Sciences 11, no. 2 (June 22, 2020): 2713–24. http://dx.doi.org/10.26452/ijrps.v11i2.2293.

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Image fusion plays a vital role for enhancing the quality of images in medical applications. It is known that CT images of brain shows the details of the bone structure and MRI images of brain shows the details of the soft tissue. The Objective of this research is to fuse CT (Computed Tomography) and MRI(Magnetic Resonance Imaging) of normal brain images and tumor affected brain images and to find out structural similarity(SSIM) of the fused image. Axial slice of normal brain and brain tumor images are taken for image fusion. Totally, 24 brain images has been taken out of which 6 pairs are normal brain images and another 6 pairs are tumor affected brain images. Techniques used are Graph-cut method for segmentation, Maximum method for fusion and Swarm Intelligence method for optimization. The proposed fusion method increases SSIM (Structural Similarity) when compared to conventional method of fusion. Tumor size in the fused image is also extracted and this fused image is helpful for doctors to analyse the post radio therapy patient or operated patient whether any tumor residues still exist. Also this method minimises the number of pixels and increases the information content in a single fused image. This technique aids the physician to analyse complementary details in a single image.
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Gudmann, András, Nándor Csikós, Péter Szilassi, and László Mucsi. "Improvement in Satellite Image-Based Land Cover Classification with Landscape Metrics." Remote Sensing 12, no. 21 (October 31, 2020): 3580. http://dx.doi.org/10.3390/rs12213580.

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The use of an object-based image analysis (OBIA) method has recently become quite common for classifying high-resolution remote-sensed images. However, despite OBIA’s segmentation being equally useful for analysing medium-resolution images, it is not used for them as often. This study aims to analyse the effect of landscape metrics that have not yet been used in image classification to provide additional information for land cover mapping to improve the thematic accuracy of satellite image-based land cover mapping. To this end, multispectral satellite images taken by Landsat 8 Operational Land Imager (OLI) and Sentinel-2 Multispectral Instrument (MSI) during three different seasons in 2017 were analysed. The images were segmented, and based on these segments, four patch-level landscape metrics (mean patch size, total edge, mean shape index and fractal dimension) were calculated. A random forest classifier was applied for classification, and the Coordination of Information on the Environment Land Cover (CLC) 2018 database was used as reference data. According to the results, landscape metrics both with and without segmentation can significantly improve the overall accuracy of the classification over classification based on spectral values. The highest overall accuracy was achieved using all data (i.e., spectral values, segmentation, and metrics).
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Gururaj, Mirji Sairaj, and A. Arockia Selvakumar. "Image Processing Techniques to Analyse a 3D Model." Applied Mechanics and Materials 787 (August 2015): 922–26. http://dx.doi.org/10.4028/www.scientific.net/amm.787.922.

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The Image processing technique incorporates human perception and intelligence which makes this field more interesting to the research community. The edge detection process is the most important step in image recognition system. In this paper a simple three dimensional model is created by taking the best edge detected image followed by comparison with various edge detection techniques using Labview software. HereCatia model of spur gear isdrawn by observing and analysing best suited edge detected image in order to make the design more precise in edges and geometry and also to make object recognition simple and further scope is given to design a Catia model using dimensional parameters with the help of vision assistant tool.
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Upadhyaya, Vivek, and Mohammad Salim. "To Analyse the Effect of Relaxation Type on Magnetic Resonance Image Compression Using Compressive Sensing." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 04 (April 6, 2021): 21. http://dx.doi.org/10.3991/ijoe.v17i04.20759.

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<span>Medical Imaging and scanning technologies are used to provide better resolution of body and tissues. To achieve a better quality Magnetic Resonance (MR) image with a minimum duration of processing time is a tedious task. So our purpose in this paper is to find out a solution that can minimize the reconstruction time of an MRI signal. </span><span>Compressive sensing can be used to accelerate Magnetic Resonance Image (MRI) acquisition by acquiring fewer data through the under-sampling of k-space, so it can be used to minimize the time. But according to the relaxation time, we can further classify the MRI signal into T1, T2, and Proton Density (PD) weighted images. These weighted images represent different signal intensities for different types of tissues and body parts. It also affects the reconstruction process conducted by using the Compressive Sensing Approach. This study is based on finding out the effect of T1, T2, and Proton Density (PD) weighted images on the reconstruction process as well as various image quality parameters like MSE, PSNR, &amp; SSIM also calculated to analyze this effect. Meanwhile, we can analyze how many samples are enough to reconstruct the MR image so the problem associated with time and scanning speed can be reduced up to an extent. In this paper, we got the Structural Similarity Index Measure (SSIM) value up to 0.89 &amp; PSNR value 37.83451 dB at an 85 % compression ratio for the T2 weighted image. </span>
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Arumugam, Shankar, and Kannammal Annadurai. "An Efficient Machine Learning Based Image Encryption Scheme for Medical Image Security." Journal of Medical Imaging and Health Informatics 11, no. 6 (June 1, 2021): 1533–40. http://dx.doi.org/10.1166/jmihi.2021.3470.

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Medical images are very important in most of the application than any other images. In real time applications like telemedicine application, communication of medical image through open access needs protection as well as security at high level. Many imaging information has its own unique features which are so difficult to analyse and make decision to identify necessary techniques for protecting confidential image of unauthenticated access, Utmost all the existing encryption algorithms are mainly concentrating on textual data, but for multimedia data like images, it is not suitable. The main contribution done in this work is for ensuring increased security level over medical images regardless of presence of noises. In this algorithm, DNA subsequence operations combining with the use of improved Combined Linear Congruential Generator (C-LCG) were used for encryption of information. This paper discuss the idea of the improvement of safe and secure techniques using machine learning which is justified by the entropy value and correlation among adjacent pixels with performance parameters. The original image was scrambled using Combined Linear Congruential Generator with Bit rotation operation (BRO) and then image is transformed by effective encryption method using DNA subsequence operations. The proposed scheme discloses the correlation between pixel and entropy. Experimentation results showed that correlation among pixels is reduced while maximizing entropy. Number of Pixel Change Rate (NPCR) and Peak signal to noise (PSNR) ratio were also been analysed. In proposed algorithm, maximum NPCR values is achieved which shows the scattering of pixels in Encrypted image is high. PSNR shows a better encryption quality with lower the values.
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Et al., A. Mohanarathinam. "AN ANALYSIS ON IMAGE ENCRYPTION FOR SECURED TRANSMISSION OF BIOMEDICAL APPLICATIONS." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (February 12, 2021): 01–11. http://dx.doi.org/10.17762/itii.v9i1.82.

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Digital images are very popularly used for communications over the internet. Embedded information in the digital image has to be securely transmitted without any modification in the image. The biomedical telemedicine gains significant importance in information transmission and with increasing popularity with Tele-ophthalmology, requirement of medical data confidentiality and privacy also increases for data storage and secure transformation. The objective is to analyse the bioimage encryption algorithms which provides security and privacy to the bioimages. In this paper retinal fundus image online available dataset have used. The proposed work is analysed by considering, three performance parameters such as PSNR, MSE and CR. The two different encryption algorithms namely block-based perceptual encryption (BBPE) and advanced encryption standard (AES) algorithm along with arithmetic compression have tested . The proposed work results tested on standard test images and retinal fundus images shows that the BBPE method attains PSNR of 27.58db , MSE of 3.20e+03 and CR of 4.27 for standard test images and 13.35db, 1.4046e+04 and 7.28 respectively for medical HRF images. The BBPE algorithm can be used in tele-ophthalmology and telemedicine applications.
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Dissertations / Theses on the topic "Analyse image"

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Bendig, Tim. "Image-Malus des Handels : eine empirische Analyse /." Frankfurt am Main [u.a.] : Lang, 2006. http://www.gbv.de/dms/zbw/506307891.pdf.

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Roudier, Bertrand. "Caractérisation des poudres pharmaceutiques par analyse d' image." Paris 5, 1996. http://www.theses.fr/1996PA05P006.

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Joly, Philippe. "Consultation et analyse des documents en image animée numérique." Toulouse 3, 1996. http://www.theses.fr/1996TOU30130.

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Nous proposons plusieurs methodes et outils dont l'objectif est de permettre la production d'interfaces ergonomiques pour la consultation et l'analyse des documents en image animee numerique. Nous identifions dans un premier temps les proprietes inherentes aux methodes de productions cinematographiques. Nous distinguons trois approches differentes dans le domaine de la recherche, basees sur ces proprietes: la reconnaissance des objets constitutifs des images et leurs mouvements, la description du contenu, et l'analyse statistique de signatures et de variations entre images. Dans ce dernier cadre, nous proposons un modele statistique qui caracterise les changements entre deux images consecutives lors d'un effet de transition. Nous avons developpe un algorithme efficace de segmentation en plans, qui est compare a d'autres algorithmes deja publies. Des unites plus grandes que le plan dans un long document peuvent etre utiles, pour une consultation rapide par exemple. Nous presentons alors une methode de macrosegmentation, basee sur les proprietes de production, qui est comparable a la segmentation en sequences. Nous completons cet ensemble d'outils par la description d'une methode de microsegmentation dont le but est d'analyser les principaux mouvements de camera. Dans ce chapitre, nous proposons aussi un ensemble de methodes produisant une specification des transitions, des plans, et des documents. Enfin, nous presentons differentes interfaces basees sur des representations discretes et nous discutons leurs proprietes ergonomiques. Un lexique, inclus dans le rapport, decrit des methodes de production audiovisuelles et propose des directions de recherche en vue de leur analyse automatique
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Hernández, Londoño Jorge Eduardo. "Analyse morphologique d'images pour la modélisation d'environnements urbains." Phd thesis, École Nationale Supérieure des Mines de Paris, 2009. http://pastel.archives-ouvertes.fr/pastel-00005974.

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La modélisation d'environnements urbains permet le développement de nombreuses applications telles que la navigation 3D, la planification de l'aménagement urbain ou la création de scenarii pour le cinéma. L'enjeu technologique est de réduire le temps nécessaire pour une modélisation réaliste et fidèle à la réalité. Cette thèse s'inscrit dans le cadre du projet TerraNumerica dont l'objectif est de développer une plateforme de production et d'exploitation d'environnements synthétiques urbains. Dans ce contexte, nous sommes confrontés à des problèmes de segmentation de scènes urbaines. Dans une première partie, nous montrons l'intérêt de l'opérateur d'ouverture ultime en tant qu'opérateur de segmentation générique. Ensuite nous avons proposé plusieurs améliorations qui le rendent plus robuste à des problèmes de masquage et d'images floues. L'efficacité de ces améliorations est démontrée dans le contexte de l'étude mais aussi pour la segmentation de texte enfoui et de cellules. La deuxième partie est consacrée à l'analyse de façades. Leur modélisation est réalisée à l'échelle du bâtiment. Néanmoins, lors de l'acquisition, plusieurs bâtiments apparaissent dans une même image. Nous proposons une méthode capable de séparer automatiquement les différentes façades contenues dans l'image. Ensuite, nous détectons les étages, les travées, les fenêtres... afin d'alimenter un modèle de bâtiment fidèle à la réalité. La troisième partie de cette thèse est consacrée à l'analyse des données tridimensionnelles. Pour une modélisation de la scène, il est nécessaire d'introduire des éléments du mobilier urbain ainsi que le trottoir. Nous présentons des outils pour la détection et la classification d'artefacts. Ces outils permettent 1- le filtrage de données facilitant la modélisation et 2- la réintroduction d‘éléments tels que les lampadaires, améliorant le réalisme de la scène modélisée. Nous proposons également une méthode automatique pour la segmentation du trottoir.
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Mercier, Bruno. "Reconstruction et analyse automatiques pour le rééclairage d'objets basés-image." Phd thesis, Université de Poitiers, 2006. http://tel.archives-ouvertes.fr/tel-00145124.

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Le rééclairage d'objets réels à partir d'images est un problème difficile à traiter car il implique l'estimation d'un nombre important de paramètres. Néanmoins le rééclairage de tels objets est indispensable pour une intégration de manière réaliste dans un environnement comportant des conditions d'illumination différentes de celles présentes lors de l'acquisition. Le travail proposé dans ce mémoire décrit une méthodologie de reconstruction automatique de toute la chaîne d'analyse : il couvre tous les aspects allant de la reconstruction géométrique à l'estimation de la réflectance de la surface en passant par la détection de sources lumineuses. Les seules données nécessaires à l'application de cette méthode sont de multiples points de vue de l'objet acquis sous des conditions d'illumination fixes et les paramètres de la caméra. Aucun objet additionnel n'est présent sur les images et la surface de l'objet basé-image peut être diffuse, spéculaire et/ou texturée. Nous avons mis en place un système d'acquisition robuste constitué d'un appareil photographique grand marché et d'un plateau tournant. Notre modèle géométrique reconstruit permet de passer d'un modèle discret à un modèle triangulé sans perte d'information topologique (propriétés de fermeture et nombre de composantes connexes conservés). De multiples sources ponctuelles et directionnelles sont détectées et la réflectance des objets est estimée sur chaque maille par un modèle de BRDF paramétrique. Nous utilisons les données reconstruites pour visualiser les objets avec de nouvelles conditions d'illumination. La version actuelle permet de générer de nouvelles images en quelques secondes avec une méthode de lancer de rayons.
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Neubauer, Michael. "Image und ökonomischer Erfolg der Deutschen Bahnen - eine verkehrshistorische Analyse." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-126873.

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Kaum ein Unternehmen in Deutschland steht derart häufig im Fokus einer kritischen Betrachtung durch die Öffentlichkeit wie die Deutsche Bahn. Über Themen wie “Pünktlichkeit”, “Service/ Kundenorientierung” oder die Fahrzeugproblematik wird nicht nur in den Medien regelmäßig berichtet und kontrovers diskutiert. Sehr oft wird hierbei das bestehende Bahn-Image als verbesserungsbedürftig betrachtet. Ausgehend von der These, dass sich die Bahn schon länger mit einem eher schlechten Image auseinanderzusetzen hat, die Eisenbahn früher jedoch einen besseren Ruf genoss, werden die Bahnen in Deutschland näher untersucht. Die Forschungsfrage lautet: Wie haben sich die beiden Parameter “ökonomischer Erfolg” und “Image” verkehrshistorisch betrachtet in den vergangenen acht Jahrzehnten im jeweiligen verkehrspolitischen und gesellschaftlichen Umfeld für die Eisenbahnunternehmen in Deutschland verändert? Welche Aussagen können zum Ruf der Bahn in der jeweiligen Öffentlichkeit getroffen werden? Die Arbeit gliedert sich in drei Teile, bestehend aus dem Theorieteil, dem verkehrshistorischen Teil und dem empirischen Teil. Teil 1 Ausgangspunkt ist der Theorieteil. Das theoretische Fundament bildet die wissenschaftliche Einordnung der Begriffe „Verkehrshistorie“, “ökonomischer Erfolg“ und “Image“. Teil 2 Der Hauptfokus der Arbeit liegt im Aufzeigen der verkehrshistorischen Entwicklung der Eisenbahnen in Deutschland unter wirtschaftlichen Aspekten, dem jeweiligen verkehrspolitischen Umfeld sowie imagerelevanten Gesichtspunkten. In einer Zeitreihenanalyse werden für die Jahre von 1925 bis 2003 die ökonomischen relevanten Geschehnisse von der Deutschen Reichsbahn-Gesellschaft, über die Deutsche Bundesbahn bis zur heutigen Deutschen Bahn AG aufgezeigt, dies unter dem besonderen Blickwinkel imageprägender Begebenheiten. Teil 3 Der dritte Teil setzt sich mit empirischen Untersuchungen zum Image der Deutschen Bahnen auseinander. Imagerelevante Aussagen zur Bahn, in Auftrag gegeben entweder von der DB AG selbst oder von externen Organisationen, werden vorgestellt. Kernstück ist ein eigener empirischer Studienansatz, der aufzeigt, wie das Bahnimage über einen langen Zeitraum zu ermitteln ist.
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Paquis, Stéphane. "Reconnaissance des surfaces de chaussée par analyse de texture image." Saint-Etienne, 2003. http://www.theses.fr/2003STET4003.

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La texture image des surfaces de chaussées peut se définir comme un ensemble d'objets lumineux, de taille et de forme variées, posés sur un fond sombre plus ou moins apparent. Il s'agit de textures à forte granularité et ne possédant aucune périodicité. La nature de ces textures rend difficile toute utilisation directe de techniques classiques d'analyse. La méthode originale, présentée dans ce mémoire, met en œuvre une décomposition pyramidale dont le processus de transformation a été élaboré dans le but de mettre en évidence une caractéristique de la texture chaussée. L'étude de l'évolution de la texture entre deux résolutions successives de la pyramide s'effectue par une matrice de conccurrence inter-niveau. L'analyse fine de la répartition des données matricielle permet l'extraction d'un vecteur d'attributs, qui constitue l'espace de représentation nécessaire au schéma de classification. Ce dernier est ensuite éprouvé sur la base d'une banque d'images conséquente
Texture image of surface of roadways can be defined as a set of luminous objects of different size and different form, posed on a more and less apparent bottom. These textures are characterized by a strong granularity and none periodicity. Then, any direct use of traditional technics is unsatisfactory, as shown by a comparative and critical study. The original method, presented in this memory, introduces a pyramidal decomposition based on a transformation process elaborated in order to improve a certain characteristic of the texture. The evolution between two successive resolutions of the pyramid is done with an inter-level co-occurrence matrix. Fine analysis of the data contained in this matrix allows us to construct a parameters vector used during the classification step. This tool is then validated on a large image database. This one consists in the acquisition of roadways with various scales and under various illuminations. Moreover, each image is compressed with different JPEG rates
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Saeed, Usman. "Analyse des lèvres pour reconnaissance des personnes." Phd thesis, Télécom ParisTech, 2010. http://pastel.archives-ouvertes.fr/pastel-00005849.

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Dans cette thèse nous nous concentrons sur une caractéristique locale du visage humain que sont les lèvres en termes de pertinence et influence sur la reconnaissance de la personne. Une étude détaillée est réalisée à l'égard de différentes étapes, telles que la détection, l'évaluation, la normalisation et les applications liées de la bouche. Au départ, on présente un algorithme de détection des lèvres en fusionnant deux méthodes indépendantes. La première méthode est basée sur la détection de contours et la deuxième orientée sur la segmentation. On exploite leurs points forts en combinant les deux méthodes par fusion. Ensuite, on extrait les caractéristiques qui modélisent l'aspect comportemental du mouvement des lèvres lorsque la personne parle afin de les exploiter pour la reconnaissance des personnes. Les caractéristiques du comportement incluent des caractéristiques statiques, et des caractéristiques dynamiques en fonction du flux optique. Ces caractéristiques sont utilisées pour construire le modèle du client par une Mixture de Gaussiennes et enfin la classification est réalisée en utilisant une règle de décision bayésienne. Enfin, on propose une méthode de normalisation temporelle pour le traitement des variations du mouvement des lèvres pendant le discours. Étant donné plusieurs vidéos où une personne répète la même phrase plusieurs fois, nous étudions le mouvement des lèvres dans l'une de ces vidéos et on sélectionne certaines images clés comme images de synchronisation. Après, on synchronise le reste des vidéos par rapport au images clés de la première vidéo. Enfin toutes les vidéos sont normalisées temporellement par interpolation à l'aide de "morphing".
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Dovgal, Sergey. "An interdisciplinary image of Analytic Combinatorics." Thesis, Paris 13, 2019. http://www.theses.fr/2019PA131065.

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Cette thèse est consacrée au développement des outils et à l’utilisation des méthodes de la combinatoire analytique, notamment l’énumération exacte et asymptotique, les propriétés statistiques des objets aléatoires et la génération aléatoire. L’ingrédient clé est la multidisciplinarité du domaine, qui est soulignée par des exemples tirés de la programmation logique, de la mécanique statistique, de la biologie, de la statistique mathématique, des réseaux et de la théorie des files d’attente
This thesis is devoted to the development of tools and the use of methods from Analytic Combinatorics, including exact and asymptotic enumeration, statistical properties of random objects, and random generation.The key ingredient is the multidisciplinarity of the domain, which is emphasised by using examples from computational logic, statistical mechanics, biology, mathematical statistics, networks and queueing theory
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Rothe, Christine. "Kultursponsoring und Image-Konstruktion interdisziplinäre Analyse der rezeptionsspezifischen Faktoren des Kultursponsoring und Entwicklung eines kommunikationswissenschaftlichen Image-Approaches /." [S.l. : s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=96278110X.

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Books on the topic "Analyse image"

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Vettraino-Soulard, Marie-Claude. Lire une image: Analyse de contenu iconique. Paris: Armand Colin, 1993.

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Image processing and jump regression analysis. Hoboken, N.J: John Wiley, 2005.

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Digital image processing. 6th ed. Berlin: Springer, 2005.

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Entkörperungen: Suchtbewegungen zur (Wieder- )Aneignung von Körperlichkeit : eine biografische Analyse. Opladen: Leske + Budrich, 2002.

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Elad, M. Sparse and redundant representations: From theory to applications in signal and image processing. New York: Springer, 2010.

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(Thomas), Lengauer T., ed. Computermodelle in der Wissenschaft -- zwischen Analyse, Vorhersage und Suggestion: Vorträge anlässlich der Jahresversammlung vom 2. bis 4. Oktober 2009 zu Halle (Saale). Halle (Saale): Deutsche Akademie der Naturforscher Leopoldina--Nationale Akademie der Wissenschaften, 2011.

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A, Campilho, and Kamel Mohamed, eds. Image analysis and recognition: Third international conference, ICIAR 2006, Póvoa de Varzim, Portugal, September 18-20, 2006 : proceedings. Berlin: Springer, 2006.

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Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. Berlin: Springer-Verlag, 1991.

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Digital image processing: Concepts, algorithms, and scientific applications. 4th ed. Berlin: Springer, 1997.

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Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 2nd ed. Berlin: Springer-Verlag, 1993.

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Book chapters on the topic "Analyse image"

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Bartels, U., W. Friedmann, C. Minguillon, and U. Büscher. "Image-zytophotometrische DNA-Analyse beim Mammakarzinom." In Gynäkologie und Geburtshilfe 1992, 822–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77857-5_300.

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Børresen, Kari Elisabeth. "Image ajustée, typologie arrêtée: Analyse critique de Mulieris dignitatem." In Women’s Studies of the Christian and Islamic Traditions, 343–57. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1664-0_11.

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Thomaz, Carlos E., James P. Boardman, Derek L. G. Hill, Jo V. Hajnal, David D. Edwards, Mary A. Rutherford, Duncan F. Gillies, and Daniel Rueckert. "Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004, 291–300. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30135-6_36.

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Alves, Jairo L., Leila Weitzel, Paulo Quaresma, Carlos E. Cardoso, and Luan Cunha. "Brazilian Presidential Elections in the Era of Misinformation: A Machine Learning Approach to Analyse Fake News." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 72–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33904-3_7.

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Cree, Michael J., and Herbert F. Jelinek. "Image Analysis of Retinal Images." In Medical Image Processing, 249–68. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9779-1_11.

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Santini, Simone, and Ramesh Jain. "Image databases are not databases with images." In Image Analysis and Processing, 38–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63508-4_103.

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Xu, Ziyue, Georgios Z. Papadakis, Daniel J. Mollura, and Ulas Bagci. "Image Analyses." In Imaging Infections, 223–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54592-9_11.

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Othmani, Ahlem, Carole Meziat, and Nicolas Loménie. "Ontology-Driven Image Analysis for Histopathological Images." In Advances in Visual Computing, 1–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17289-2_1.

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Klausegger, Claudia, Thomas Salzberger, and Dieter Scharitzer. "“Neue Verwaltung” — Zufriedene Bürger, positives Image? Analyse der Kundenzufriedenheit bei Finanzämtern unter Berücksichtigung der Einstellung zur öffentlichen Verwaltung." In Neue Entwicklungen im Dienstleistungsmarketing, 29–55. Wiesbaden: Deutscher Universitätsverlag, 2002. http://dx.doi.org/10.1007/978-3-322-97830-1_2.

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Solli, Martin, and Reiner Lenz. "Content Based Detection of Popular Images in Large Image Databases." In Image Analysis, 218–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21227-7_21.

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Conference papers on the topic "Analyse image"

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Cho, Soojin, and Byunghyun Kim. "Image-driven Bridge Inspection Framework using Deep Learning and Image Registration." In IABSE Conference, Seoul 2020: Risk Intelligence of Infrastructures. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2020. http://dx.doi.org/10.2749/seoul.2020.269.

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<p>This paper proposes an image-driven bridge inspection framework using automated damage detection using deep learning technique and image registration. A state-of-the-art deep learning model, Cascade Mask R-CNN (Mask and Region-based Convolutional Neural Networks) is trained for detection of cracks, which is a representative damage type of bridges, from the images taken from a bridge. The model is trained with more than a thousand training images containing cracks as well as crack-like objects (hard negative samples). The images taken from a test bridge are input to a deep learning model trained to detect damages, which is further mapped on a large image of each bridge component registered using a commercial registration software. The performance of the proposed framework is evaluated on piers of existing bridges, whose external appearance was imaged using a DSLR with a telescopic lens. The results are compared with the conventional visual inspection to analyse the performance and applicability of the proposed framework.</p>
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Lefebvre, G., L. Thorax, and J. Ducom. "Une Technique D' Analyse D' Image Par Cellule Sur Ecran Video." In 16th International Congress on High Speed Photography and Photonics, edited by Michel L. Andre and Manfred Hugenschmidt. SPIE, 1985. http://dx.doi.org/10.1117/12.967967.

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Carrión-Ruiz, Berta, and José Luis Lerma. "ANÁLISIS DE COMPONENTES PRINCIPALES DE IMÁGENES MULTIESPECTRALES EN EL ÁMBITO DEL ARTE RUPESTRE." In 1st Congress in Geomatics Engineering. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/cigeo2017.2017.6597.

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This paper tackles principal component analysis (PCA) in images that include wavelengths between 380-1000 nm. Our approach is focussed on taking advantage of the potencial of ultraviolet and infrarred images, in combination with the visible ones, to improve documentation process and rock art analysis. In this way, we want to improve the discrimination between pigment and support rock, and analyse the spectral behaviour of rock art paintings in the ultraviolet and infrared regions. Three images were used, one image from the ultraviolet (UV) region, one from the visible region (VIS) and another one from the near infrared region (NIR). Optical filters coupled to the camera optics were used to take the images. These filters capture specific wavelengths excluding radiation that we are not interested in registering. Finally, PCA is applied to the acquired images. The results obtained demonstrate the PCA usefulness with imagery in this field and also it is possible to extract some conclusions about the correspondent paint pigments.http://dx.doi.org/10.4995/CIGeo2017.2017.6597
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Ludwiczak, A., M. Stanisz, D. Lisiak, A. Przybylak, P. Boniecki, K. Koszela, M. Zaborowicz, et al. "A computer method to analyse the impact of ultrasound frequency on the brightness of USG images of muscle cross-sections." In Eighth International Conference on Digital Image Processing (ICDIP 2016), edited by Charles M. Falco and Xudong Jiang. SPIE, 2016. http://dx.doi.org/10.1117/12.2248338.

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De Giorgi, M. G., D. Bello, and A. Ficarella. "A Neural Network Approach to Analyse Cavitating Flow Regime in an Internal Orifice." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82205.

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The identification of the water cavitation regime is an important issue in a wide range of machines, as hydraulic machines and internal combustion engine. In the present work several experiments on a water cavitating flow were conducted in order to investigate the influence of pressures and temperature on flow regime transition. In some cases, as the injection of hot fluid or the cryogenic cavitation, the thermal effects could be important. The cavitating flow pattern was analyzed by the images acquired by the high-speed camera and by the pressure signals. Four water cavitation regimes were individuated by the visualizations: no-cavitation, developing, super and jet cavitation. As by image analysis, also by the frequency analysis of the pressure signals, different flow behaviours were identified at the different operating conditions. A useful approach to predict and on-line monitoring the cavitating flow and to investigate the influence of the different parameters on the phenomenon is the application of Artificial Neural Network (ANN). In the present study a three-layer Elman neural network was designed, using as inputs the power spectral density distributions of dynamic differential pressure fluctuations, recorded downstream and upstream the restricted area of the orifice. Results show that the designed neural networks predict the cavitation patterns successfully comparing with the cavitation pattern by visual observation. The Artificial Neural Network underlines also the impact that each input has in the training process, so it is possible to identify the frequency ranges that more influence the different cavitation regimes and the impact of the temperature. A theoretical analysis has been also performed to justify the results of the experimental observations. In this approach the nonlinear dynamics of the bubbles growth have been used on an homogenous vapor-liquid mixture model, so to couple the effects of the internal dynamic bubble with the other flow parameters.
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Qiao, Shuang, Qiao Wang, and Jipeng Huang. "Neutron Image Restoration by Combining Richardson-Lucy With Steering Kernel." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-15155.

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Neutron image obtained from a small digital neutron imaging system, always has characteristics of low contrast, blurred edges and serious noise. It is disadvantageous to further analyse information about the sample’s internal structure, so it is essential for the observer to process the degraded image to improve its visual quality. In order to avoid the noise amplification problem of the original Richardson-Lucy (R-L) algorithm, which is adopted to recover degraded image, a restoration algorithm by combining R-L algorithm with Steering Kernel (S-K) algorithm for neutron image is presented in this paper. First S-K algorithm is applied to restrain the noise of the blurred noisy neutron image, as well as improving the signal-to-noise ratio of the image, and then R-L algorithm is used to reconstruct the blurred noisy image. The proposed algorithm is able to make up for the deficiency of R-L algorithm in dealing with the noise amplification problem, which is caused by the repeated iteration, while retaining the details of the image characteristics as much as possible. Comparative experimental results show that the algorithm can obtain satisfactory restoration visual effect for neutron image. The details of the work done are described in this paper.
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Islam, Noman. "An image processing based approach to analyse ski-jump’s length, height and velocity of an athlete." In 2020 International Conference on Information Science and Communication Technology (ICISCT). IEEE, 2020. http://dx.doi.org/10.1109/icisct49550.2020.9080054.

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Al-thani, Noora, Nitha Siby, Fatma Nabhan, and Ruba Ali. "Cultivating Curiosity by Integrating Art in Science through Photography." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0259.

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Arts-integrated science is a tantalizing educational approach that captures the attention of scientific learners through the lighter side of science. This study highlights the findings of a schoolbased applied research study conducted to develop public school students’ curiosity and their aesthetic qualities by exploring scientific knowledge by using photography. This study incorporated photography as a learning aid in STEAM workshops for 386 high school students, including 220 males and 166 females from 19 schools, and tested methods for enhancing the curiosity or interest of students to explore the workshop context more deeply. The analysis of our methods discusses the results using pre- and post-method questionnaires and the evaluations of 816 scientific images captured by the students. The key aim of this research involves cultivating curiosity in students as they analyse captured images, which results in positive outcomes, such as increased engagement in scientific workshops, thereby inspiring them to more thoroughly explore the science behind each image.
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Morales, Juan, Jorge G. Pen˜a, Jaime Ferna´ndez, and Angel Rodri´guez. "Towards a Scalable ESPINA for Neuroscience Data Analysis." In ASME 2011 World Conference on Innovative Virtual Reality. ASMEDC, 2011. http://dx.doi.org/10.1115/winvr2011-5553.

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ESPINA is an image segmentation tool designed to analyse microscopy images in order to identify neuronal structures and to produce 3D models of these structures. This tool allows to display three-dimensional volumes using auto-stereoscopic monitors. It was initially designed for workstations, but when data volume management or its processing complexity makes unfeasible the implementation of the new tools on these computers, it is necessary to resort to computing servers that delimit response times or by means of scalable solutions and algorithmic optimizations. This paper analyses the migration of this tool from the original implementation to a scalable solution and describes the experience achieved during the development of the workstation version. The proposed alternative is a distributed version of the tool that delegate heavy-computational processes to a cluster, improving the performance of the system in a master/slave architecture.
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Iskra, Andrej. "Eye tracking study of frontal and profile face image observation and recognition." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p55.

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Facial images are an important element of nonverbal communication. Eye-tracking systems enable us to objectively measure and analyse the way we look at facial images and thus to study the behaviour of observers. Different ways of looking at facial images influence the process of remembering faces and recognition performance. In the real world we are dealing with different representations of faces, especially when we look at them from different angles. Memory and recognition performance are different when test subjects look at the face from the frontal or from a profile view. We studied crossobservation and recognition, so we performed two tests. In the first test, subjects observed facial images shown in the frontal view and recognized them in the profile view. In the second test, the faces were observed from the profile and recognized in the frontal view. The presentation time in the observation test was four seconds, which was found to be an adequate time for sufficient recognition in some previous tests. The results were analysed with the well-known time and spatial method based on fixations and saccades and with the new area method using heatmaps of the eye tracking results. We found that the recognition success (correct and incorrect recognition) was better when the combination of frontal view and profile recognition was used. The results were then confirmed by measuring the fixation duration and saccade length. More visible facial features resulted in a shorter fixation duration and shorter saccade length, which led to a better memory. We also confirmed the results of observation and recognition by area analysis, where we measured the area, perimeter and circularity of heatmaps. Here we found that larger areas and perimeter and smaller circularity of heatmaps resulted in better memory of facial images and therefore better recognition.
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Reports on the topic "Analyse image"

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Wendelberger, James G. Image Analysis of Stringer Area: Three Images. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1467243.

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Wendelberger, James G., Kimberly Ann Kaufeld, Elizabeth J. Kelly, Juan Duque, and John M. Berg. Automated Image Analysis for Screening LCM Images – Examples from 09DE2 Images. Office of Scientific and Technical Information (OSTI), February 2018. http://dx.doi.org/10.2172/1422981.

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Krushelnytska, Sofiia. UKRAINE’S IMAGE IN THE FRENCH MEDIA DURING THE EVENTS OF 2004. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11065.

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The article examines the formation of the image of Ukraine by the French media during the Orange Revolution. The main factors influencing the tone of publications and difficulties in creating a positive external image of Ukraine in the French media are identified. The article is aimed at the analysis of scientific research on the influence of the French media on the formation of the image of Ukraine and its role in international socio-political processes. The study analyzes the materials of French journalists in the media, written during the events in 2004. The main factors influencing the formation of positive features of the Ukrainian state are identified. The main changes in perceptions of Ukraine in the French media are systematized. The influence of the media on the formation of the image and security of the state is determined. The main peaks of interest in Ukraine from foreign mass media are analyzed. Stereotypes and myths in the image of Ukraine that should be destroyed have been identified. The article also analyzes the role of the Orange Revolution in forming a positive image of Ukraine for foreign recipients. It is also investigated what factors influence the information space of the state and its role in image formation. Examples of Russian influence on the French media in order to undermine Ukraine’s image at the international level are given. Articles, radio and TV materials are offered as an example of interest and attention to the events of 2004. At the same time, the need to control the information that enters the information space outside Ukraine has been demonstrated. However, the positive effects of the image on the support of Ukraine by foreign partners have been identified.
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Wood, William Monford. Errors from Image Analysis. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1170637.

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Aida, Toru. Image Analysis: Comparison Metrics. Office of Scientific and Technical Information (OSTI), February 2021. http://dx.doi.org/10.2172/1765865.

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Jackson, Bernard V., Andrew Buffington, and P. P. Hick. Development of Data Analysis Techniques to Provide Photometric Images for a Heliospheric Imager. Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada519141.

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Wendelberger, James G., Juan Duque, Kimberly Ann Kaufeld, and Elizabeth J. Kelly. Automatic Image Analysis Status Report. Office of Scientific and Technical Information (OSTI), December 2017. http://dx.doi.org/10.2172/1412838.

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Petruk, W. Image analysis: an overview of developments. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/307280.

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Amit, Yali. Deformable Topological Templates for Image Analysis. Fort Belvoir, VA: Defense Technical Information Center, August 1996. http://dx.doi.org/10.21236/ada316810.

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Bowyer, Kevin W. Digital Image Database with Gold Standard and Performance Metrics for Mammographic Image Analysis Research. Fort Belvoir, VA: Defense Technical Information Center, July 1995. http://dx.doi.org/10.21236/ada300083.

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