Spatio Temporal Image Processing

Author : Bernd Jähne
Publisher : Springer Science & Business Media
Page : 228 pages
File Size : 50,5 Mb
Release : 1993-11-10
Category : Technology & Engineering
ISBN : 3540574182

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Spatio-Temporal Image Processing by Bernd Jähne Pdf

Image sequence processing is becoming a tremendous tool to analyze spatio-temporal data in all areas of natural science. It is the key to studythe dynamics of of complex scientific phenomena. Methods from computer science and the field of application are merged establishing new interdisciplinary research areas. This monograph emerged from scientific applications and thus is an example for such an interdisciplinaryapproach. It is addressed both to computer scientists and to researchers from other fields who are applying methods of computer vision. The results presented are mostly from environmental physics (oceanography) but they will be illuminating and helpful for researchers applying similar methods in other areas.

Author : Stanley Durrleman,Tom Fletcher,Guido Gerig,Marc Niethammer,Xavier Pennec
Publisher : Springer
Page : 89 pages
File Size : 53,5 Mb
Release : 2015-01-02
Category : Computers
ISBN : 9783319149059

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Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data by Stanley Durrleman,Tom Fletcher,Guido Gerig,Marc Niethammer,Xavier Pennec Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014, held in conjunction with MICCAI 2014 in Boston, MA, USA, in September 2014. The 7 papers presented in this volume were carefully reviewed and selected from 15 submissions. They are organized in topical sections named: longitudinal registration and shape modeling, longitudinal modeling, reconstruction from longitudinal data, and 4D image processing.

Author : Stanley Durrleman,Tom Fletcher,Guido Gerig,Marc Niethammer
Publisher : Springer
Page : 163 pages
File Size : 45,6 Mb
Release : 2012-09-18
Category : Computers
ISBN : 9783642335556

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Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data by Stanley Durrleman,Tom Fletcher,Guido Gerig,Marc Niethammer Pdf

This book constitutes the refereed proceedings of the Second International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, held in conjunction with MICCAI 2012 in Nice, France, in October 2012. The 13 papers presented in this volume were carefully reviewed and selected from 22 submissions. They are organized in topical sections named: longitudinal registration and transport; spatio-temporal analysis for shapes; spatio-temporal analysis under appearance changes; and spatio-temporal analysis for biology.

Author : Vladimir Mashtalir,Igor Ruban,Vitaly Levashenko
Publisher : Springer Nature
Page : 279 pages
File Size : 45,6 Mb
Release : 2019-12-16
Category : Technology & Engineering
ISBN : 9783030354800

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Advances in Spatio-Temporal Segmentation of Visual Data by Vladimir Mashtalir,Igor Ruban,Vitaly Levashenko Pdf

This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information. Sets of meaningful and manageable image or video parts, defined by visual interest or attention to higher-level semantic issues, are often vital to the efficient and effective processing and interpretation of viewable information. Developing robust methods for spatial and temporal partition represents a key challenge in computer vision and computational intelligence as a whole. This book is intended for students and researchers in the fields of machine learning and artificial intelligence, especially those whose work involves image processing and recognition, video parsing, and content-based image/video retrieval.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 52,5 Mb
Release : 2020
Category : Image segmentation
ISBN : 3030354814

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Advances in Spatio-temporal Segmentation of Visual Data by Anonim Pdf

This book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information. Sets of meaningful and manageable image or video parts, defined by visual interest or attention to higher-level semantic issues, are often vital to the efficient and effective processing and interpretation of viewable information. Developing robust methods for spatial and temporal partition represents a key challenge in computer vision and computational intelligence as a whole. This book is intended for students and researchers in the fields of machine learning and artificial intelligence, especially those whose work involves image processing and recognition, video parsing, and content-based image/video retrieval.

Author : Yung-Sheng Chen
Publisher : BoD – Books on Demand
Page : 530 pages
File Size : 43,5 Mb
Release : 2009-12-01
Category : Computers
ISBN : 9789533070261

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Image Processing by Yung-Sheng Chen Pdf

There are six sections in this book. The first section presents basic image processing techniques, such as image acquisition, storage, retrieval, transformation, filtering, and parallel computing. Then, some applications, such as road sign recognition, air quality monitoring, remote sensed image analysis, and diagnosis of industrial parts are considered. Subsequently, the application of image processing for the special eye examination and a newly three-dimensional digital camera are introduced. On the other hand, the section of medical imaging will show the applications of nuclear imaging, ultrasound imaging, and biology. The section of neural fuzzy presents the topics of image recognition, self-learning, image restoration, as well as evolutionary. The final section will show how to implement the hardware design based on the SoC or FPGA to accelerate image processing.

Author : Xinming Tang,Yaolin Liu,Jixian Zhang,Wolfgang Kainz
Publisher : CRC Press
Page : 252 pages
File Size : 40,9 Mb
Release : 2007-08-23
Category : Science
ISBN : 9780203937556

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Advances in Spatio-Temporal Analysis by Xinming Tang,Yaolin Liu,Jixian Zhang,Wolfgang Kainz Pdf

Developments in Geographic Information Technology have raised the expectations of users. A static map is no longer enough; there is now demand for a dynamic representation. Time is of great importance when operating on real world geographical phenomena, especially when these are dynamic. Researchers in the field of Temporal Geographical Infor

Author : Robert Burduk,Marek Kurzynski,Michal Wozniak,Andrzej Zolnierek
Publisher : Springer Science & Business Media
Page : 782 pages
File Size : 47,9 Mb
Release : 2011-04-21
Category : Technology & Engineering
ISBN : 9783642203206

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Computer Recognition Systems 4 by Robert Burduk,Marek Kurzynski,Michal Wozniak,Andrzej Zolnierek Pdf

The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 78 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections: Biometrics, Features, learning and classifiers, Image processing and computer vision, Knowledge acquisition based on reasoning methods Medical applications, Miscellaneous applications, This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be as well researchers as students of computer science, artificial intelligence or robotics.

Author : Milan Sonka,Ioannis A. Kakadiaris,Jan Kybic
Publisher : Springer Science & Business Media
Page : 448 pages
File Size : 54,5 Mb
Release : 2004-09-20
Category : Computers
ISBN : 9783540226758

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Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis by Milan Sonka,Ioannis A. Kakadiaris,Jan Kybic Pdf

Medical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analysis.

Author : Jens Rittscher,Raghu Machiraju,Stephen T. C. Wong
Publisher : Artech House
Page : 533 pages
File Size : 40,6 Mb
Release : 2008
Category : Medical
ISBN : 9781596932371

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Microscopic Image Analysis for Life Science Applications by Jens Rittscher,Raghu Machiraju,Stephen T. C. Wong Pdf

Here's a first-of-its-kind book that bridges the gap between biomedical imaging and the bioscience community. This unique resource gives you a detailed understanding of imaging platforms, fluorescence imaging, and fundamental image processing algorithms. Further, it guides you through application of advanced image analysis methods and techniques to specific biological problems. The book presents applications that span a wide range of scales, from the detection of signaling events in sub-cellular structures, to the automated analysis of tissue structures. Other critical areas discussed include the dynamics of cell populations and in vivo microscopy. This cutting-edge volume is supported with over 160 illustrations that support key topics throughout the book. CD-ROM Included! Contains full-color images and videos that further illustrate topics discussed in the book.

Author : Yuji Murayama,Manjula Ranagalage,Matamyo Simwanda
Publisher : Mdpi AG
Page : 330 pages
File Size : 45,8 Mb
Release : 2021-12-27
Category : Science
ISBN : 3036525416

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Spatio-Temporal Analysis of Urbanization Using GIS and Remote Sensing in Developing Countries by Yuji Murayama,Manjula Ranagalage,Matamyo Simwanda Pdf

Over the last two decades, many researchers have focused on developing countries' urbanization patterns and processes. In this context, the scarcity of spatial data has been an obstacle to studying urbanization quantitatively, especially in Asian and African cities. The use of remote sensing data and geographical information systems (GIS) techniques can overcome the above limitations. Data on land use and land cover, land surface temperature, population density, and energy consumption can be extracted based on remote sensing at various spatial and temporal resolutions. GIS techniques can be used to analyze urbanization patterns and predict future patterns. Thus, the link between urbanization and sustainable urban development has increasingly become a principal issue in designing and developing sustainable cities at the local, regional, and global levels. This volume shows the spatiotemporal analysis of urbanization using GIS and remote sensing in developing countries, with a special emphasis on future urban sustainability in Asia and Africa. Capturing the spatial-temporal variation of urbanization patterns will help introduce proper sustainable urban planning in developing countries, especially for Asian and African cities.

Author : Kadri Nizar Jabri
Publisher : Unknown
Page : 160 pages
File Size : 42,6 Mb
Release : 1994
Category : Electronic
ISBN : CORNELL:31924083816854

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Edge Contour Tracking in Image Sequences by Analysis of Spatiotemporal Connectivity by Kadri Nizar Jabri Pdf

Author : B.S. Daya Sagar,Qiuming Cheng,Frits Agterberg
Publisher : Springer
Page : 914 pages
File Size : 50,7 Mb
Release : 2018-06-25
Category : Science
ISBN : 9783319789996

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Handbook of Mathematical Geosciences by B.S. Daya Sagar,Qiuming Cheng,Frits Agterberg Pdf

This Open Access handbook published at the IAMG's 50th anniversary, presents a compilation of invited path-breaking research contributions by award-winning geoscientists who have been instrumental in shaping the IAMG. It contains 45 chapters that are categorized broadly into five parts (i) theory, (ii) general applications, (iii) exploration and resource estimation, (iv) reviews, and (v) reminiscences covering related topics like mathematical geosciences, mathematical morphology, geostatistics, fractals and multifractals, spatial statistics, multipoint geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences.

Author : Chein-I Chang
Publisher : John Wiley & Sons
Page : 612 pages
File Size : 41,9 Mb
Release : 2022-11-09
Category : Technology & Engineering
ISBN : 9781119687771

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Advances in Hyperspectral Image Processing Techniques by Chein-I Chang Pdf

Advances in Hyperspectral Image Processing Techniques Authoritative and comprehensive resource covering recent hyperspectral imaging techniques from theory to applications Advances in Hyperspectral Image Processing Techniques is derived from recent developments of hyperspectral imaging (HSI) techniques along with new applications in the field, covering many new ideas that have been explored and have led to various new directions in the past few years. The work gathers an array of disparate research into one resource and explores its numerous applications across a wide variety of disciplinary areas. In particular, it includes an introductory chapter on fundamentals of HSI and a chapter on extensive use of HSI techniques in satellite on-orbit and on-board processing to aid readers involved in these specific fields. The book’s content is based on the expertise of invited scholars and is categorized into six parts. Part I provides general theory. Part II presents various Band Selection techniques for Hyperspectral Images. Part III reviews recent developments on Compressive Sensing for Hyperspectral Imaging. Part IV includes Fusion of Hyperspectral Images. Part V covers Hyperspectral Data Unmixing. Part VI offers different views on Hyperspectral Image Classification. Specific sample topics covered in Advances in Hyperspectral Image Processing Techniques include: Two fundamental principles of hyperspectral imaging Constrained band selection for hyperspectral imaging and class information-based band selection for hyperspectral image classification Restricted entropy and spectrum properties for hyperspectral imaging and endmember finding in compressively sensed band domain Hyperspectral and LIDAR data fusion, fusion of band selection methods for hyperspectral imaging, and fusion using multi-dimensional information Advances in spectral unmixing of hyperspectral data and fully constrained least squares linear spectral mixture analysis Sparse representation-based hyperspectral image classification; collaborative hyperspectral image classification; class-feature weighted hyperspectral image classification; target detection approach to hyperspectral image classification With many applications beyond traditional remote sensing, ranging from defense and intelligence, to agriculture, to forestry, to environmental monitoring, to food safety and inspection, to medical imaging, Advances in Hyperspectral Image Processing Techniques is an essential resource on the topic for industry professionals, researchers, academics, and graduate students working in the field.

Author : Bertram Emil Shi
Publisher : Unknown
Page : 374 pages
File Size : 40,8 Mb
Release : 1994
Category : Electronic
ISBN : UCAL:C3377904

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Spatio-temporal Image Filtering with Cellular Neural Networks by Bertram Emil Shi Pdf