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Beitrag zur Unterwasserbildrestauration

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Book Series: Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung ISSN: 18665934 ISBN: 9783731505792 Year: Volume: 9 Pages: XX, 210 p. DOI: 10.5445/KSP/1000058567 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:59
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Underwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradation processes. Hence, it is possible to enhance image quality with model knowledge under different image acquisition conditions.

Photon-Counting Image Sensors

Authors: --- --- --- --- et al.
ISBN: 9783038423751 9783038423744 Year: Pages: XII, 366 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering
Added to DOAB on : 2017-05-19 08:18:39
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Photon-counting image sensors represent a possible paradigm shift in solid-state image sensors. In these devices, photons are individually sensed and counted. To count photons, the devices must have high quantum efficiency, deep sub-electron read noise and the ability to read-out in digital form at high speed. This all-invited content from the top image sensor researchers around the world, reviews the state of the art of photon-counting image sensors in a variety of configurations, including CMOS image sensors and devices using avalanche multiplication, and for visible photons as well as higher energy photons such as ultraviolet and x-rays. New methods of creating image information from photon-counting image sensors is also described. This new emerging technology will have applications in low-light scientific imaging for aerospace and defense, and in the life sciences. It may also have applications in cryptography, communications, security cameras, 3D imaging and photography.

MAPPING MAnagement and Processing of images for Population ImagiNG

Authors: --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889452606 Year: Pages: 139 DOI: 10.3389/978-2-88945-260-6 Language: English
Publisher: Frontiers Media SA
Subject: General and Civil Engineering --- Computer Science
Added to DOAB on : 2018-02-27 16:16:44
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Several recent papers underline methodological points that limit the validity of published results in imaging studies in the life sciences and especially the neurosciences (Carp, 2012; Ingre, 2012; Button et al., 2013; Ioannidis, 2014). At least three main points are identified that lead to biased conclusions in research findings: endemic low statistical power and, selective outcome and selective analysis reporting. Because of this, and in view of the lack of replication studies, false discoveries or solutions persist. To overcome the poor reliability of research findings, several actions should be promoted including conducting large cohort studies, data sharing and data reanalysis. The construction of large-scale online databases should be facilitated, as they may contribute to the definition of a “collective mind” (Fox et al., 2014) facilitating open collaborative work or “crowd science” (Franzoni and Sauermann, 2014). Although technology alone cannot change scientists’ practices (Wicherts et al., 2011; Wallis et al., 2013, Poldrack and Gorgolewski 2014; Roche et al. 2014), technical solutions should be identified which support a more “open science” approach. Also, the analysis of the data plays an important role. For the analysis of large datasets, image processing pipelines should be constructed based on the best algorithms available and their performance should be objectively compared to diffuse the more relevant solutions. Also, provenance of processed data should be ensured (MacKenzie-Graham et al., 2008). In population imaging this would mean providing effective tools for data sharing and analysis without increasing the burden on researchers. This subject is the main objective of this research topic (RT), cross-listed between the specialty section “Computer Image Analysis” of Frontiers in ICT and Frontiers in Neuroinformatics. Firstly, it gathers works on innovative solutions for the management of large imaging datasets possibly distributed in various centers. The paper of Danso et al. describes their experience with the integration of neuroimaging data coming from several stroke imaging research projects. They detail how the initial NeuroGrid core metadata schema was gradually extended for capturing all information required for future metaanalysis while ensuring semantic interoperability for future integration with other biomedical ontologies. With a similar preoccupation of interoperability, Shanoir relies on the OntoNeuroLog ontology (Temal et al., 2008; Gibaud et al., 2011; Batrancourt et al., 2015), a semantic model that formally described entities and relations in medical imaging, neuropsychological and behavioral assessment domains. The mechanism of “Study Card” allows to seamlessly populate metadata aligned with the ontology, avoiding fastidious manual entrance and the automatic control of the conformity of imported data with a predefined study protocol. The ambitious objective with the BIOMIST platform is to provide an environment managing the entire cycle of neuroimaging data from acquisition to analysis ensuring full provenance information of any derived data. Interestingly, it is conceived based on the product lifecycle management approach used in industry for managing products (here neuroimaging data) from inception to manufacturing. Shanoir and BIOMIST share in part the same OntoNeuroLog ontology facilitating their interoperability. ArchiMed is a data management system locally integrated for 5 years in a clinical environment. Not restricted to Neuroimaging, ArchiMed deals with multi-modal and multi-organs imaging data with specific considerations for data long-term conservation and confidentiality in accordance with the French legislation. Shanoir and ArchiMed are integrated into FLI-IAM1, the national French IT infrastructure for in vivo imaging.

Keywords

Database --- Infrastructure --- Data --- Workflow --- Neuroimaging --- Image Analysis --- Brain --- MRI

Symmetry in Vision

Authors: ---
ISBN: 9783038424963 9783038424970 Year: Pages: X, 198 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Mathematics
Added to DOAB on : 2017-10-02 11:54:07
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Symmetry has a central role in the study of vision. The concept of symmetry has an ancient origin in considerations of visual appearance; in modern times, abstracted and formalized into Group Theory, it has found spectacular applications, far beyond the visible; but its importance for vision persists in many ways including:• As a non-accidental feature of an image that cues affordances, 3D structure or the semantic categories of object present.• As a redundant aspect of an image which many be exploited for simplicity and compactness of encoding.• As a salient feature that draws attention, and evokes distinctive brain responses.• As a constraint on priors on the distribution of structures to be found in the natural world.• As an aesthetic principle.• As a design principle for vision systems.• The original idea for a Special Issue came from a symposium at the European Conference in Visual Perception, in 2015, on the topic of brain responses to visual symmetry, but we have now extended the scope. This Special Issue is devoted to provide a shared place for cutting edge studies on how and why symmetry is processed and exploited by biological and artificial visual systems.

New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty

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ISBN: 9783731505907 Year: Pages: XII, 243 p. DOI: 10.5445/KSP/1000060221 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:01:59
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Multidimensional imaging techniques provide powerful ways to examine various kinds of scientific questions. The routinely produced data sets in the terabyte-range, however, can hardly be analyzed manually and require an extensive use of automated image analysis. The present work introduces a new concept for the estimation and propagation of uncertainty involved in image analysis operators and new segmentation algorithms that are suitable for terabyte-scale analyses of 3D+t microscopy images.

Realtime Analysis of Large-Scale Data

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ISBN: 9783731505525 Year: Pages: XIII, 98 p. DOI: 10.5445/KSP/1000056498 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Computer Science
Added to DOAB on : 2019-07-30 20:02:00
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In photon science more and more data are taken. It is not possible anymore to store and process all data offline. In this book, we explore strategies for handling this large amount of data. A neural network as well as techniques from image processing are used to efficiently categorize and select useful data. We also indicate why many sophisticated algorithms cannot be used in this context. In addition, a prototype for data selection is presented, discussed, and benchmarked.

Design and analysis of a content-based image retrieval system

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Book Series: Forschungsberichte aus der Industriellen Informationstechnik / Institut für Industrielle Informationstechnik (IIIT), Karlsruher Institut für Technologie ISSN: 21906629 ISBN: 9783731506928 Year: Volume: 16 Pages: XVI, 237 p. DOI: 10.5445/KSP/1000071866 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:59
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The automatic retrieval of images according to the similarity of their content is a challenging task with many application fields. In this book the automatic retrieval of images according to human spontaneous perception without further effort or knowledge is considered. A system is therefore designed and analyzed. Methods for the detection and extraction of regions and for the extraction and comparison of color, shape, and texture features are also investigated.

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