Spatio Temporal Image Processing

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Spatio Temporal Image Processing
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Author : Bernd Jähne
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-11-10
Spatio Temporal Image Processing written by Bernd Jähne and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-11-10 with Technology & Engineering categories.
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.
Spatio Temporal Image Analysis For Longitudinal And Time Series Image Data
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Author : Stanley Durrleman
language : en
Publisher: Springer
Release Date : 2012-09-18
Spatio Temporal Image Analysis For Longitudinal And Time Series Image Data written by Stanley Durrleman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-18 with Computers categories.
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.
Image Processing
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Author : Yung-Sheng Chen
language : en
Publisher: BoD – Books on Demand
Release Date : 2009-12-01
Image Processing written by Yung-Sheng Chen and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-01 with Computers categories.
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.
Computer Vision And Mathematical Methods In Medical And Biomedical Image Analysis
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Author : Milan Sonka
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-09-20
Computer Vision And Mathematical Methods In Medical And Biomedical Image Analysis written by Milan Sonka and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-20 with Computers categories.
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.
Advances In Spatio Temporal Segmentation Of Visual Data
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Author : Vladimir Mashtalir
language : en
Publisher: Springer Nature
Release Date : 2019-12-16
Advances In Spatio Temporal Segmentation Of Visual Data written by Vladimir Mashtalir and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-16 with Technology & Engineering categories.
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.
Spatio Temporal Image Processing
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Author : G S. Little
language : en
Publisher:
Release Date : 1995
Spatio Temporal Image Processing written by G S. Little and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.
Microscopic Image Analysis For Life Science Applications
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Author : Jens Rittscher
language : en
Publisher: Artech House
Release Date : 2008
Microscopic Image Analysis For Life Science Applications written by Jens Rittscher and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Medical categories.
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.
Advances In Hyperspectral Image Processing Techniques
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Author : Chein-I Chang
language : en
Publisher: John Wiley & Sons
Release Date : 2022-11-09
Advances In Hyperspectral Image Processing Techniques written by Chein-I Chang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-09 with Technology & Engineering categories.
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.
Edge Contour Tracking In Image Sequences By Analysis Of Spatiotemporal Connectivity
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Author : Kadri Nizar Jabri
language : en
Publisher:
Release Date : 1994
Edge Contour Tracking In Image Sequences By Analysis Of Spatiotemporal Connectivity written by Kadri Nizar Jabri and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
Computer Vision Graphics And Image Processing
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Author : Snehasis Mukherjee
language : en
Publisher: Springer
Release Date : 2017-10-19
Computer Vision Graphics And Image Processing written by Snehasis Mukherjee and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-19 with Computers categories.
This book constitutes the refereed conference proceedings of the ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, held in Guwahati, India, in December 2016. The papers presented are extended versions of the papers of three of the four workshops: Computer Vision Applications, Document Analysis and Recognition and Medical Image Processing. The Computer Vision Application track received 52 submissions and after a rigorous review process, 18 papers were presented. The focus is mainly on industrial applications of computer vision and related technologies. The Document Analysis and Recognition track received 10 submissions from which 7 papers were selected. The MedImage workshops focuses on problems in medical image computing and received 14 papers from which 9 were accepted for presentation in this book.