Thesis (M.S.)--Eastern Illinois University, 1994. / Includes bibliographical references (leaves 48-52).

L’œuvre de Jacques Garelli se fonde sur un entrelacs de poésie et philosophie qui se manifeste dans l’écriture à travers une approche phénoménologique du texte poétique (et littéraire en général). Ainsi, les ressources du poème (dont il faut retenir en particulier l’image, véritable noyau de la pensée garellienne de la poésie) concourent à une reconfiguration des processus qui ont amené à sa création et qui rendent sa réception possible. La lecture est en fait un autre élément constitutif de l’originalité de l’auteur : elle est en premier lieu l’expérience de deux dimensions, temporelle et ‘mondanéisante’, du texte. Ce sont des dimensions que l’écriture poétique déploie grâce à son tissu sonore et à son réseau d’images : la lecture ne peut donc pas se réduire à un déchiffrement, car elle touche l’être entier du lecteur (ses perceptions, ses souvenirs, etc.). Ces prémisses vont aboutir à l’analyse de la question du lieu, notion qui offre une synthèse efficace et, en même temps, la possibilité d’une rencontre de l’expérience sensible et de la dimension ontologique du poème. Rencontre qui se réalise justement dans ce paysage de l’être que l’écriture garellienne dessine. À travers les images, les rythmes, les évocations qu’elle peut déclencher, la poésie se transforme en une expérience qui nous met en question, grâce aussi à une parole qui, avant de dire, est. / Jacques Garelli’s works rely on a chiasmus of philosophy and poetry that he realizes through a phenomenologic approach to the poetic (and generally literary) text. The poem’s linguistic resources (among which, the image – the centre of Garelli’s philosophy of poetry) can thus reconfigurate those processes that create the text and make its reading possible. Reading is another main aspect of the author’s originality : it is first of all an experience of the temporalization and of the worldhood that the text contains. Poetic writing unfolds these two dimensions through its weaving sounds and its imagery : reading is not, therefore, an act of decoding, since it involves the reader’s whole being (his perceptions, his memories, etc.). After these premises, the thesis analyses the question du lieu, which can be considered the synthesis of Garelli's issues. In addition, this notion offers the possibility that the sensible experience and the ontological dimension of the poem can converge on that ‘paysage de l’être’ drawn by Garelli’s writing. Poetry, thanks to its images, its rythms, and its suggestions, focuses on a word which is firstly a form of being rather than a form of language.

Electroluminescence (EL) imaging is a fast and comparatively low-cost method for spatially resolved analysis of photovoltaic (PV) devices. A Silicon CCD or InGaAs camera is used to capture the near infrared radiation, emitted from a forward biased PV device. EL images can be used to identify defects, like cracks and shunts but also to map physical parameters, like series resistance. The lack of suitable image processing routines often prevents automated and setup-independent quantitative analysis. This thesis provides a tool-set, rather than a specific solution to address this problem. Comprehensive and novel procedures to calibrate imaging systems, to evaluate image quality, to normalize images and to extract features are presented. For image quality measurement the signal-to-noise ratio (SNR) is obtained from a set of EL images. Its spatial average depends on the size of the background area within the EL image. In this work the SNR will be calculated spatially resolved and as (background independent) averaged parameter using only one EL image and no additional information of the imaging system. This thesis presents additional methods to measure image sharpness spatially resolved and introduces a new parameter to describe resolvable object size. This allows equalising images of different resolutions and of different sharpness allowing artefact-free comparison. The flat field image scales the emitted EL signal to the detected image intensity. It is often measured through imaging a homogeneous light source such as a red LCD screen in close distance to the camera lens. This measurement however only partially removes vignetting the main contributor to the flat field. This work quantifies the vignetting correction quality and introduces more sophisticated vignetting measurement methods. Especially outdoor EL imaging often includes perspective distortion of the measured PV device. This thesis presents methods to automatically detect and correct for this distortion. This also includes intensity correction due to different irradiance angles. Single-time-effects and hot pixels are image artefacts that can impair the EL image quality. They can conceivably be confused with cell defects. Their detection and removal is described in this thesis. The methods presented enable direct pixel-by-pixel comparison for EL images of the same device taken at different measurement and exposure times, even if imaged by different contractors. EL statistics correlating cell intensity to crack length and PV performance parameters are extracted from EL and dark I-V curves. This allows for spatially resolved performance measurement without the need for laborious flash tests to measure the light I-V- curve. This work aims to convince the EL community of certain calibration- and imaging routines, which will allow setup independent, automatable, standardised and therefore comparable results. Recognizing the benefits of EL imaging for quality control and failure detection, this work paves the way towards cheaper and more reliable PV generation. The code used in this work is made available to public as library and interactive graphical application for scientific image processing.

Thesis (M.A.)--Boston University / A method of reducing the graininess of a photographic print and increasing resolution in low contrast regions is described. The method involves the printing of more than one negative frame to produce one print. This requires a series of negatives with identical detail coverage in the area to be printed. The success of the method depends largely on the precision of the solution of the registration problem. Each negative is printed in turn, using the normal exposure, partitioned in as many parts as there are negatives to be printed. Each negative must be registered as exactly as possible in the image area. Four different aerial emulsions were used to obtain the 35-mm negatives for the superimposition printing technique. Kodak films used were: Tri X-RP Aercon, Super XX-RP Aerial Recon, Plus X Aerocon (SO 1166), and SO-1213. The exposure versus resolution characteristics and the basic sensitometric curves were developed for these films prior to exposure of the final series of negative frames. The negatives were exposed under identical conditions with the exception of lens openings and shutter speeds at an object to image ratio of 160 to 1. The camera was a Contax IIA with a 50-nm F/2 Sonnar lens. The camera exposure settings were: Tri-X, F/16, 1/250 second; Plus X, F/16, 1/100 second; SO-1213, F/11, 1/50 second. Due to the level of brightness of the target, the camera lens was not used at its best aperture. No filter was used. [TRUNCATED].

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Repetitive low level image processing transformations can be performed at high speeds by SIMD arrays, DSP and dedicated VLSI devices. These strategies cannot be adppted with more complex and time consuming data dependent algorithms. A flexible and programmable component must be used, and the use of many such devices in parallel, using dynamic load balancing techniques, is necessary to enable acceptable execution performance to be obtained. The transputer is a powerful new microprocessor with unique on chip communications facilities. Together with the new parallel programming language, occam, the transputer was specifically designed for parallel processing applications. Large transputer networks can be used for computationally intensive applications. This work has investigated the use of transputers for performing image processing algorithms of all three levels of complexity. Techniques were devised and implemented for the execution of low, medium and high levels of image processing algorithms on a multi-transputer network. A software architecture using SUPPLY and DEMAND processes was designed, and dynamic work load balancing was achieved, operating on a ternary tree network of up to 32 transputers. Some 80 image processing algorithms were successfully implemented within the software architecture. In particular, the more complex operation of Feature Extraction was achieved using the multi-transputer system. The Features extracted, involving Convex Hull, Convex Hull Deficiencies, Areas and Perimeters, and Shape Factors were used to build a Feature Vector. The use of this Feature Vector in Scene Interpretation, to realise Learn and Recognise functions has been investigated. The results of the work clearly show that while the system proposed is not as effective at executing repetitive, data intensive transformations as methods mentioned earlier, it can execute more complex Feature Extraction and Scene Interpretation algorithms efficiently. An Efficiency of 85% was achieved for Convex Hull formation, using 32 transputers.

Magnetic Induction Tomography (MIT) is a contactless and non-invasive method for imaging the passive electrical properties of objects. An MIT system employs an array of excitation coils in order to induce eddy currents within an object and then uses detection coils to measure the resulting magnetic field perturbations. An image of conductivity distribution within the object is reconstructed by iteratively solving a non-linear inverse problem. As a relatively new imaging technique, MIT encounters several challenges both in terms of the formulation of the algorithms and the computational intensity needed for industrial and medical applications. This is because such real life models are often necessarily large and complex, and the computation is consequently highly time consuming. For instance, in the case of stroke detection and monitoring, which is one of the potential medical applications of MIT, it has been a major challenge to develop realistic computer brain models which allow the reconstruction of high resolution images within practical time frames. Parallel implementation is an obvious solution for addressing such computational challenges. Therefore, the development of a fast and efficient 3D image reconstruction solver and its implementation in parallel platforms are very important, as this will lead to considerable improvements in this field and allow the use of MIT in both medical and industrial applications. This thesis investigates potential hardware architectures, efficient parallel algorithms and optimisation methods for MIT. In this study, an efficient 3D iterative image reconstruction algorithm was developed using the reciprocity method and was shown to provide better absolute conductivity images of sample than existing work. Significant improvements in computation time were achieved by the parallel implementations of both forward and inverse model parts of the image reconstruction algorithm. These implementations were developed, tested and compared across many hardware platforms using various parallelisation approaches. Progresses made in this study will invariably hasten future developments of MIT as a real-life and low-cost imaging modality with many potential applications in the medical and industrial arena.

Zavadil, J.: Image and identity of Faculty of regional development and internationl studies, Mendel university in Brno. Diploma thesis. Brno 2015 This diploma thesis examines the impact of higher education in the region and focuses on the issue of the image and identity of public universities as a factor that significantly affects the competitiveness of organizations in the region. The objective of this thesis was to analyze image and identity of the Faculty of Regional Development and International Studies, Mendel University in Brno and propose any changes to the content of the image and identity of this public educational institution.

This thesis presents a system by which 3D images of human faces can be constructed using a natural language interface. The driving force behind the project was the need to create a system whereby a machine could produce artistic images from verbal or composed descriptions. This research is the first to look at constructing and modifying facial image artwork using a natural language interface. Specialised modules have been developed to control geometry of 3D polygonal head models in a commercial modeller from natural language descriptions. These modules were produced from research on human physiognomy, 3D modelling techniques and tools, facial modelling and natural language processing.