927 resultados para Synthetic Image Analysis
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[ES] IPOL es una revista científica de procesamiento digital de imágenes y diversos métodos de análisis de imágenes. En cada publicación se incorpora una demo donde cualquier persona puede probar, vía web, el funcionamiento del método descrito en dicha publicación. De esta forma, se puede usar el método sin tener conocimiento de programación ni tener que instalarlo en su ordenador. En este proyecto fin de carrera se quiere desarrollar una aplicación que permita la ejecución de las demos desde un dispositivo móvil. Con ello, se pretende hacer más accesible la ejecución de algoritmo de procesamiento de imágenes y aumentar su divulgación científica.
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[EN]This paper presents a study on the facial feature detection performance achieved using the Viola-Jones framework. A set of classi- ers using two di erent focuses to gather the training samples is created and tested on four di erent datasets covering a wide range of possibili- ties. The results achieved should serve researchers to choose the classi er that better ts their demands.
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[EN]An accurate estimation of the number of people entering / leaving a controlled area is an interesting capability for automatic surveil- lance systems. Potential applications where this technology can be ap- plied include those related to security, safety, energy saving or fraud control. In this paper we present a novel con guration of a multi-sensor system combining both visual and range data specially suited for trou- blesome scenarios such as public transportation. The approach applies probabilistic estimation lters on raw sensor data to create intermediate level hypothesis that are later fused using a certainty-based integration stage. Promising results have been obtained in several tests performed on a realistic test bed scenario under variable lightning conditions.
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[EN]In this paper, we address the challenge of gender classi - cation using large databases of images with two goals. The rst objective is to evaluate whether the error rate decreases compared to smaller databases. The second goal is to determine if the classi er that provides the best classi cation rate for one database, improves the classi cation results for other databases, that is, the cross-database performance.
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[EN]In this paper, we experimentally study the combination of face and facial feature detectors to improve face detection performance. The face detection problem, as suggeted by recent face detection challenges, is still not solved. Face detectors traditionally fail in large-scale problems and/or when the face is occluded or di erent head rotations are present. The combination of face and facial feature detectors is evaluated with a public database. The obtained results evidence an improvement in the positive detection rate while reducing the false detection rate. Additionally, we prove that the integration of facial feature detectors provides useful information for pose estimation and face alignment.
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[EN]In this paper, we focus on gender recognition in challenging large scale scenarios. Firstly, we review the literature results achieved for the problem in large datasets, and select the currently hardest dataset: The Images of Groups. Secondly, we study the extraction of features from the face and its local context to improve the recognition accuracy. Diff erent descriptors, resolutions and classfii ers are studied, overcoming previous literature results, reaching an accuracy of 89.8%.
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New concepts on porosity appraisal in ancient and modern construction materials. The role of Fractal Geometry on porosity characterization and transport phenomena. This work studied the potential of Fractal Geometry to the characterization of porous materials. Besides the descriptive aspects of the pore size distribution, the fractal dimensions have led to the development of rational relations for the prediction of permeability coefficients to fluid and heat transfer. The research considered natural materials used in historical buildings (rock and earth) as well as currently employed materials as hydraulic cement and technologically advanced materials such as silicon carbide or YSZ ceramics. The experimental results of porosity derived from the techniques of mercury intrusion and from the image analysis. Data elaboration was carried out according to established procedures of Fractal Geometry. It was found that certain classes of materials are clearly fractal and respond to simple patterns such as Sierpinski and Menger models. In several cases, however, the fractal character is not recognised because the microstructure of the material is based on different phases at different dimensional scales, and in consequence the “fractal dimensions” calculated from porosimetric data do not come within the standard range (less than 3). Using different type and numbers of fractal units is possible, however, to obtain “virtual” microstructures that have the fraction of voids and pore size distribution equivalent with the experimental ones for almost any material. Thus it was possible to take the expressions for the permeability and the thermal conduction which does not require empirical “constants”, these expressions have also provided values that are generally in agreement with the experimental available data. More problematic has been the fractal discussion of the geometry of the rupture of the material subjected to mechanical stress both external and internal applied. The results achieved on these issues are qualitative and prone to future studies. Keywords: Materials, Microstructure, Porosity, Fractal Geometry, Permeability, Thermal conduction, Mechanical strength.
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Automatic face recognition has been mainly tackled by matching a new image to a set of previously computed identity models. The literature describes approximations where those identity models are based on a single sample or a set of them. However, face representation keeps being a topic of great debate in the psychology literature, with some results suggesting the use of an average image. In this paper, instead of restricting our system to a fixed and precomputed classifier, the system learns iteratively based on the experience extracted from each meeting.
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[ES]This paper describes some simple but useful computer vision techniques for human-robot interaction. First, an omnidirectional camera setting is described that can detect people in the surroundings of the robot, giving their angular positions and a rough estimate of the distance. The device can be easily built with inexpensive components. Second, we comment on a color-based face detection technique that can alleviate skin-color false positives. Third, a simple head nod and shake detector is described, suitable for detecting affirmative/negative, approval/dissaproval, understanding/disbelief head gestures.
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ABSTRACT: The dimension stone qualification through the use of non-destructive tests (NDT) is a relevant research topic for the industrial characterisation of finite products, because the competition of low-costs products can be sustained by an offer of highqualification and a top-guarantee products. The synthesis of potentialities offered by the NDT is the qualification and guarantee similar to the well known agro-industrial PDO, Protected Denomination of Origin. In fact it is possible to guarantee both, the origin and the quality of each stone product element, even through a Factory Production Control on line. A specific disciplinary is needed. A research developed at DICMA-Univ. Bologna in the frame of the “OSMATER” INTERREG project, allowed identifying good correlations between destructive and non-destructive tests for some types of materials from Verbano-Cusio-Ossola region. For example non conventional ultrasonic tests, image analysis parameters, water absorption and other measurements showed to be well correlated with the bending resistance, by relationships varying for each product. In conclusion it has been demonstrated that a nondestructive approach allows reaching several goals, among the most important: 1) the identification of materials; 2) the selection of products; 3) the substitution of DT by NDT. Now it is necessary to move from a research phase to the industrial implementation, as well as to develop new ND technologies focused on specific aims.
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Bread dough and particularly wheat dough, due to its viscoelastic behaviour, is probably the most dynamic and complicated rheological system and its characteristics are very important since they highly affect final products’ textural and sensorial properties. The study of dough rheology has been a very challenging task for many researchers since it can provide numerous information about dough formulation, structure and processing. This explains why dough rheology has been a matter of investigation for several decades. In this research rheological assessment of doughs and breads was performed by using empirical and fundamental methods at both small and large deformation, in order to characterize different types of doughs and final products such as bread. In order to study the structural aspects of food products, image analysis techniques was used for the integration of the information coming from empirical and fundamental rheological measurements. Evaluation of dough properties was carried out by texture profile analysis (TPA), dough stickiness (Chen and Hoseney cell) and uniaxial extensibility determination (Kieffer test) by using a Texture Analyser; small deformation rheological measurements, were performed on a controlled stress–strain rheometer; moreover the structure of different doughs was observed by using the image analysis; while bread characteristics were studied by using texture profile analysis (TPA) and image analysis. The objective of this research was to understand if the different rheological measurements were able to characterize and differentiate the different samples analysed. This in order to investigate the effect of different formulation and processing conditions on dough and final product from a structural point of view. For this aim the following different materials were performed and analysed: - frozen dough realized without yeast; - frozen dough and bread made with frozen dough; - doughs obtained by using different fermentation method; - doughs made by Kamut® flour; - dough and bread realized with the addition of ginger powder; - final products coming from different bakeries. The influence of sub-zero storage time on non-fermented and fermented dough viscoelastic performance and on final product (bread) was evaluated by using small deformation and large deformation methods. In general, the longer the sub-zero storage time the lower the positive viscoelastic attributes. The effect of fermentation time and of different type of fermentation (straight-dough method; sponge-and-dough procedure and poolish method) on rheological properties of doughs were investigated using empirical and fundamental analysis and image analysis was used to integrate this information throughout the evaluation of the dough’s structure. The results of fundamental rheological test showed that the incorporation of sourdough (poolish method) provoked changes that were different from those seen in the others type of fermentation. The affirmative action of some ingredients (extra-virgin olive oil and a liposomic lecithin emulsifier) to improve rheological characteristics of Kamut® dough has been confirmed also when subjected to low temperatures (24 hours and 48 hours at 4°C). Small deformation oscillatory measurements and large deformation mechanical tests performed provided useful information on the rheological properties of samples realized by using different amounts of ginger powder, showing that the sample with the highest amount of ginger powder (6%) had worse rheological characteristics compared to the other samples. Moisture content, specific volume, texture and crumb grain characteristics are the major quality attributes of bread products. The different sample analyzed, “Coppia Ferrarese”, “Pane Comune Romagnolo” and “Filone Terra di San Marino”, showed a decrease of crumb moisture and an increase in hardness over the storage time. Parameters such as cohesiveness and springiness, evaluated by TPA that are indicator of quality of fresh bread, decreased during the storage. By using empirical rheological tests we found several differences among the samples, due to the different ingredients used in formulation and the different process adopted to prepare the sample, but since these products are handmade, the differences could be account as a surplus value. In conclusion small deformation (in fundamental units) and large deformation methods showed a significant role in monitoring the influence of different ingredients used in formulation, different processing and storage conditions on dough viscoelastic performance and on final product. Finally the knowledge of formulation, processing and storage conditions together with the evaluation of structural and rheological characteristics is fundamental for the study of complex matrices like bakery products, where numerous variable can influence their final quality (e.g. raw material, bread-making procedure, time and temperature of the fermentation and baking).
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Zusammenfassung:Die Quartärstruktur des respiratorischen Proteins Hämocyanin (Isoform HtH1) aus der marinen Schnecke Haliotis tuberculata wurde vermittels Kryoelektronen-mikroskopie und 3D-Rekonstruktion untersucht. Das Molekül ist zylinderförmig, hat einen Durchmesser von ca. 35 nm und besteht aus einer Zylinderwand und einem internen Kragenkomplex. Dieser wiederum besteht aus einem Collar und einem Arc.Die kryoelektronenmikroskopischen Aufnahmen von in glasartigem Eis fixierten HtH1-Molekülen brachte eine enorme Verbesserung der Anzahl der zur Verfügung stehenden Ansichtswinkel gegenüber den negativkontrastierten Molekülen, die auf Karbonfilm präpariert waren.Die 3D-Rekonstruktion des HtH1 mittels Aufnahmen bei drei verschiedenen Defo-kuswerten verbesserte die Auflösung noch einmal deutlich gegenüber den Rekon-struktionen, die aus Aufnahmen bei einem festen Defokuswert gemacht wurden, und zwar auf 12 Å. Das Molekül besitzt eine D5-Symmetrie.Aus dieser bisher genausten Rekonstruktion eines Molluskenhämocyanins aus EM-Bildern ließen sich folgende neue Strukturdetails ableiten:· Ein Untereinheitendimer konnte als Repeating Unit im Dekamer des HtH1 beschrieben werden.· Das Untereinheitendimer konnte aus der 3D-Dichtekarte isoliert werden. Es be-steht eindeutig aus 16 Massen, die funktionellen Domänen entsprechen. Zwei dieser Massen bilden den Collar, zwei den Arc und 12 das Wandsegment.· Die gegenläufige Anordnung der beiden Untereinheiten innerhalb dieses Unte-reinheitendimers konnten bestätigt und auf zwei Möglichkeiten eingeschränkt werden.· Die Zahl der alternativen Anordnungen der 16 funktionellen Domänen (HtH1-a bis HtH1-h) im Untereinheitendimer konnten von 80 auf 2 eingeengt werden.· Es konnte über molekulares Modellieren mithilfe einer publizierten Kristallstruk-tur eine 3D-Struktur fastatomarer Auflösung der funktionellen Domäne HtH1-g berechnet werden.· Die funktionelle Domäne HtH1-g konnte als Domänenpaar plausibel in die 3D?Dichtekarte des Untereinheitendimers eingepasst werden, und zwar in die beiden Massen des Arc.Aus der elektronenmikroskopisch gewonnenen Dichtekarte wurde mit Hilfe des
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Negli ultimi anni si è assistito ad una radicale rivoluzione nell’ambito dei dispositivi di interazione uomo-macchina. Da dispositivi tradizionali come il mouse o la tastiera si è passati allo sviluppo di nuovi sistemi capaci di riconoscere i movimenti compiuti dall’utente (interfacce basate sulla visione o sull’uso di accelerometri) o rilevare il contatto (interfacce di tipo touch). Questi sistemi sono nati con lo scopo di fornire maggiore naturalezza alla comunicazione uomo-macchina. Le nuove interfacce sono molto più espressive di quelle tradizionali poiché sfruttano le capacità di comunicazione naturali degli utenti, su tutte il linguaggio gestuale. Essere in grado di riconoscere gli esseri umani, in termini delle azioni che stanno svolgendo o delle posture che stanno assumendo, apre le porte a una serie vastissima di interessanti applicazioni. Ad oggi sistemi di riconoscimento delle parti del corpo umano e dei gesti sono ampiamente utilizzati in diversi ambiti, come l’interpretazione del linguaggio dei segni, in robotica per l’assistenza sociale, per indica- re direzioni attraverso il puntamento, nel riconoscimento di gesti facciali [1], interfacce naturali per computer (valida alternativa a mouse e tastiera), ampliare e rendere unica l’esperienza dei videogiochi (ad esempio Microsoft 1 Introduzione Kinect© e Nintendo Wii©), nell’affective computing1 . Mostre pubbliche e musei non fanno eccezione, assumendo un ruolo cen- trale nel coadiuvare una tecnologia prettamente volta all’intrattenimento con la cultura (e l’istruzione). In questo scenario, un sistema HCI deve cercare di coinvolgere un pubblico molto eterogeneo, composto, anche, da chi non ha a che fare ogni giorno con interfacce di questo tipo (o semplicemente con un computer), ma curioso e desideroso di beneficiare del sistema. Inoltre, si deve tenere conto che un ambiente museale presenta dei requisiti e alcune caratteristiche distintive che non possono essere ignorati. La tecnologia immersa in un contesto tale deve rispettare determinati vincoli, come: - non può essere invasiva; - deve essere coinvolgente, senza mettere in secondo piano gli artefatti; - deve essere flessibile; - richiedere il minor uso (o meglio, la totale assenza) di dispositivi hardware. In questa tesi, considerando le premesse sopracitate, si presenta una sistema che può essere utilizzato efficacemente in un contesto museale, o in un ambiente che richieda soluzioni non invasive. Il metodo proposto, utilizzando solo una webcam e nessun altro dispositivo personalizzato o specifico, permette di implementare i servizi di: (a) rilevamento e (b) monitoraggio dei visitatori, (c) riconoscimento delle azioni.
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Five different methods were critically examined to characterize the pore structure of the silica monoliths. The mesopore characterization was performed using: a) the classical BJH method of nitrogen sorption data, which showed overestimated values in the mesopore distribution and was improved by using the NLDFT method, b) the ISEC method implementing the PPM and PNM models, which were especially developed for monolithic silicas, that contrary to the particulate supports, demonstrate the two inflection points in the ISEC curve, enabling the calculation of pore connectivity, a measure for the mass transfer kinetics in the mesopore network, c) the mercury porosimetry using a new recommended mercury contact angle values. rnThe results of the characterization of mesopores of monolithic silica columns by the three methods indicated that all methods were useful with respect to the pore size distribution by volume, but only the ISEC method with implemented PPM and PNM models gave the average pore size and distribution based on the number average and the pore connectivity values.rnThe characterization of the flow-through pore was performed by two different methods: a) the mercury porosimetry, which was used not only for average flow-through pore value estimation, but also the assessment of entrapment. It was found that the mass transfer from the flow-through pores to mesopores was not hindered in case of small sized flow-through pores with a narrow distribution, b) the liquid penetration where the average flow-through pore values were obtained via existing equations and improved by the additional methods developed according to Hagen-Poiseuille rules. The result was that not the flow-through pore size influences the column bock pressure, but the surface area to volume ratio of silica skeleton is most decisive. Thus the monolith with lowest ratio values will be the most permeable. rnThe flow-through pore characterization results obtained by mercury porosimetry and liquid permeability were compared with the ones from imaging and image analysis. All named methods enable a reliable characterization of the flow-through pore diameters for the monolithic silica columns, but special care should be taken about the chosen theoretical model.rnThe measured pore characterization parameters were then linked with the mass transfer properties of monolithic silica columns. As indicated by the ISEC results, no restrictions in mass transfer resistance were noticed in mesopores due to their high connectivity. The mercury porosimetry results also gave evidence that no restrictions occur for mass transfer from flow-through pores to mesopores in the small scaled silica monoliths with narrow distribution. rnThe prediction of the optimum regimes of the pore structural parameters for the given target parameters in HPLC separations was performed. It was found that a low mass transfer resistance in the mesopore volume is achieved when the nominal diameter of the number average size distribution of the mesopores is appr. an order of magnitude larger that the molecular radius of the analyte. The effective diffusion coefficient of an analyte molecule in the mesopore volume is strongly dependent on the value of the nominal pore diameter of the number averaged pore size distribution. The mesopore size has to be adapted to the molecular size of the analyte, in particular for peptides and proteins. rnThe study on flow-through pores of silica monoliths demonstrated that the surface to volume of the skeletons ratio and external porosity are decisive for the column efficiency. The latter is independent from the flow-through pore diameter. The flow-through pore characteristics by direct and indirect approaches were assessed and theoretical column efficiency curves were derived. The study showed that next to the surface to volume ratio, the total porosity and its distribution of the flow-through pores and mesopores have a substantial effect on the column plate number, especially as the extent of adsorption increases. The column efficiency is increasing with decreasing flow through pore diameter, decreasing with external porosity, and increasing with total porosity. Though this tendency has a limit due to heterogeneity of the studied monolithic samples. We found that the maximum efficiency of the studied monolithic research columns could be reached at a skeleton diameter of ~ 0.5 µm. Furthermore when the intention is to maximize the column efficiency, more homogeneous monoliths should be prepared.rn
Aussagekraft einer quantitativen, PC-unterstützten PCNA-Bestimmung an Leiomyosarkomen und Leiomyomen
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Ziel der Studie war die Untersuchung inwieweit PCNA als immunhistochemisches Hilfsmittel eine Verbesserung der Abgrenzung von uterinen LM gegenüber uterinen LMS und eine Hilfe bei der Prognoseaussage bei uterinen und gastrointestinalen LMS darstellt. Dabei wurden auch weitere, herkömmliche, in einer Reihe von Studien untersuchte Prognoseparameter mit in Betracht gezogen.rnDie Auswertung der Färbungen erfolgte quantitativ mittels einer PC-gesteuerten Bildverarbeitung, die neben der positiven Zellfläche und Zellzahl auch die Kernfläche berechnet. Vorteil der quantitativen Messung ist die Möglichkeit der Reproduzierbarkeit unabhängig vom Benutzer, im Gegensatz zu semiquantitativen Analysen, die häufiger angewendet werden.rnEs fällt dabei auf, dass sowohl die Zellkerngröße generell als auch die Zellkerngröße der positiv gefärbten Zellen signifikant größer bei LMS als bei LM ist. (p< 0,0001). Zwischen den Zellkerngrößen der uterinen und der gastrointestinalen LMS fanden sich keine signifikanten Unterschiede.rnBezüglich der Abgrenzung zwischen uterinen LM und LMS zeigten sich signifikant höhere PCNA-Meßwerte für LMS (mittlere positive Zellkernzahl 15,08%, mittlere positive Zellkernzahl 16,67%) gegenüber LM (mittlere positive Zellkernzahl 1,95%, mittlere positive Zellkernzahl 2,02%). Zu den gastrointestinalen LMS-PCNA Messwerten gab es keinen signifikanten Unterschied (mittlere positive Zellkernfläche 19,07%, mittlere positive Zellkernzahl 16,43).rnKein signifikanter Zusammenhang zeigte sich bei der Höhe der PCNA-Meßwerte und der Prognose sowohl der uterinen als auch der gastrointestinalen LMS.rnIn dieser Studie stellten sich als signifikant prognoserelevant lediglich das Alter sowohl bei den uterinen und gastrointestinalen LMS heraus. Bei den uterinen LMS war auch noch ein schlechteres Grading und das Vorhandensein von Nekrosen signifikant mit der Prognose korreliert.rnNicht signifikant prognoserelevant waren sowohl bei den uterinen wie den gastrointestinalen LMS die Tumorgröße und die PCNA-Meßwerthöhe. Bei den gastrointestinalen Leiomyosarkomen zusätzlich noch das Vorhandensein von Nekrosen.rnEin signifikanter Zusammenhang wurde zwischen PCNA-Meßwerten und der Uterusgröße bzw. auch der Myomgröße bei den uterinen Leiomyomen sowie analog der Tumorgröße der uterinen und der gastrointestinalen LMS festgestellt. Innerhalb der Gruppe der uterinen Myome zeigten sich für zellreiche Myome zwar höhere Messwerte, die jedoch nicht signifikant waren.rnKein Zusammenhang zeigte sich dagegen für die Höhe der PNCA-Meßwerte und dem Grading der uterinen sowohl als auch der gastrointestinalen Leiomyosarkome, dem Alter der Patientinnen bei den uterinen LMS, dem Vorhandensein von Nekrosen bei den uterinen sowohl als auch bei gastrointestinalen LMS und dem Geschlecht bei den gastrointestinalen LMS.rnDie Ergebnisse stehen bezüglich der Aussage der Prognose teilweise in Widerspruch, teilweise in Einklang mit den bisherigen Veröffentlichungen. Ein großes Hemmnis ist die geringe Fallzahl, die vor allem durch die Seltenheit der Tumore bedingt ist, desweiteren die ungenügende Nachverfolgung der Patienten, die auch daraus resultiert, dass es sich um eine retrospektive Studie handelt. Hier bedarf es größerer Studien, möglicherweise als multizentrische Studien mit genauer Verlaufsbeobachtung, um auch im deutschsprachigen Raum eine weitere Erforschung dieser seltenen, umsomehr sehr interessanten und an den untersuchenden Pathologen besondere Ansprüche stellende Tumore zu geben.rn