Entropy in Image Analysis

Entropy in Image Analysis

Author: Amelia Carolina Sparavigna

Publisher: MDPI

Published: 2019-06-24

Total Pages: 456

ISBN-13: 3039210920

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Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods—particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.


Book Synopsis Entropy in Image Analysis by : Amelia Carolina Sparavigna

Download or read book Entropy in Image Analysis written by Amelia Carolina Sparavigna and published by MDPI. This book was released on 2019-06-24 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods—particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.


Entropy in Image Analysis

Entropy in Image Analysis

Author: Amelia Carolina Sparavigna

Publisher:

Published: 2019

Total Pages: 456

ISBN-13: 9783039210930

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Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods--particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.


Book Synopsis Entropy in Image Analysis by : Amelia Carolina Sparavigna

Download or read book Entropy in Image Analysis written by Amelia Carolina Sparavigna and published by . This book was released on 2019 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods--particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.


Entropy in Image Analysis II.

Entropy in Image Analysis II.

Author: Amelia Carolina Sparavigna

Publisher:

Published: 2020

Total Pages: 394

ISBN-13: 9783039431618

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Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas.


Book Synopsis Entropy in Image Analysis II. by : Amelia Carolina Sparavigna

Download or read book Entropy in Image Analysis II. written by Amelia Carolina Sparavigna and published by . This book was released on 2020 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas.


Biomedical Signal and Image Examination with Entropy-Based Techniques

Biomedical Signal and Image Examination with Entropy-Based Techniques

Author: V. Rajinikanth

Publisher: CRC Press

Published: 2020-12-21

Total Pages: 135

ISBN-13: 1000327256

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The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal analysis provides vital information regarding the physiological condition of the patient, and the efficient evaluation of these signals can help to diagnose the nature and the severity of the disease. This book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems for the analysis of biomedical images recorded with a variety of modalities. The work discusses the image pro-processing methods with the Entropies, such as Kapur, Tsallis, Shannon and Fuzzy on a class of RGB-scaled and gray-scaled medical pictures. The performance of the proposed technique is justified with the help of suitable case studies, which involves x-ray image analysis, MRI analysis and CT analysis. This book is intended for medical signal/image analysts, undergraduate and postgraduate students, researchers, and medical scientists interested in biomedical data evaluation.


Book Synopsis Biomedical Signal and Image Examination with Entropy-Based Techniques by : V. Rajinikanth

Download or read book Biomedical Signal and Image Examination with Entropy-Based Techniques written by V. Rajinikanth and published by CRC Press. This book was released on 2020-12-21 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal analysis provides vital information regarding the physiological condition of the patient, and the efficient evaluation of these signals can help to diagnose the nature and the severity of the disease. This book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems for the analysis of biomedical images recorded with a variety of modalities. The work discusses the image pro-processing methods with the Entropies, such as Kapur, Tsallis, Shannon and Fuzzy on a class of RGB-scaled and gray-scaled medical pictures. The performance of the proposed technique is justified with the help of suitable case studies, which involves x-ray image analysis, MRI analysis and CT analysis. This book is intended for medical signal/image analysts, undergraduate and postgraduate students, researchers, and medical scientists interested in biomedical data evaluation.


Image and Video Retrieval

Image and Video Retrieval

Author: Peter Enser

Publisher: Springer Science & Business Media

Published: 2004-07-08

Total Pages: 694

ISBN-13: 3540225390

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This book constitutes the refereed proceedings of the Third International Conference on Image and Video Retrieval, CIVR 2004, held in Dublin, Ireland in July 2004. The 31 revised full papers and 44 poster papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on image annotation and user searching, image and video retrieval algorithms, person and event identification for retrieval, content-based image and video retrieval, and user perspectives.


Book Synopsis Image and Video Retrieval by : Peter Enser

Download or read book Image and Video Retrieval written by Peter Enser and published by Springer Science & Business Media. This book was released on 2004-07-08 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Image and Video Retrieval, CIVR 2004, held in Dublin, Ireland in July 2004. The 31 revised full papers and 44 poster papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on image annotation and user searching, image and video retrieval algorithms, person and event identification for retrieval, content-based image and video retrieval, and user perspectives.


Entropy in Image Analysis III.

Entropy in Image Analysis III.

Author: Amelia Carolina Sparavigna

Publisher:

Published: 2022

Total Pages: 0

ISBN-13: 9783036535166

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Image analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally unsupervised manner in future, thanks to their artificial intelligence. The articles published in the book clearly show such a future.


Book Synopsis Entropy in Image Analysis III. by : Amelia Carolina Sparavigna

Download or read book Entropy in Image Analysis III. written by Amelia Carolina Sparavigna and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally unsupervised manner in future, thanks to their artificial intelligence. The articles published in the book clearly show such a future.


Entropy in Image Analysis III

Entropy in Image Analysis III

Author: Amelia Carolina Sparavigna

Publisher: Mdpi AG

Published: 2022-04-02

Total Pages: 0

ISBN-13: 9783036535159

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Image analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally unsupervised manner in future, thanks to their artificial intelligence. The articles published in the book clearly show such a future.


Book Synopsis Entropy in Image Analysis III by : Amelia Carolina Sparavigna

Download or read book Entropy in Image Analysis III written by Amelia Carolina Sparavigna and published by Mdpi AG. This book was released on 2022-04-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally unsupervised manner in future, thanks to their artificial intelligence. The articles published in the book clearly show such a future.


Maximum-Entropy and Bayesian Methods in Inverse Problems

Maximum-Entropy and Bayesian Methods in Inverse Problems

Author: C.R. Smith

Publisher: Springer Science & Business Media

Published: 1985-07-31

Total Pages: 512

ISBN-13: 9789027720740

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This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982. The workshops were organized to bring together researchers from different fields to critically examine maxi mum-entropy and Bayesian methods in science, engineering, medicine, oceanography, economics, and other disciplines. An effort was made to maintain an informal environment where ideas could be easily ~xchanged. That the workshops were at least partially successful is borne out by the fact that there have been two succeeding workshops, and the upcoming Fifth Workshop promises to be the largest of all. These workshops and their proceedings could not have been brought to their final form without the substantial help of a number of people. The support of David Hofmann, the past chairman, and Glen Rebka, Jr. , the present chairman of the Physics Department of the University of Wyoming, has been strong and essential. Glen has taken a special interest in seeing that the proceedings have received the support required for their comple tion. The financial support of the Office of University Research Funds, University of Wyoming, is gratefully acknowledged. The secretarial staff, in particular Evelyn Haskell, Janice Gasaway, and Marce Mitchum, of the University of Wyoming Physics Department has contributed a great number of hours in helping C. Ray Smith organize and direct the workshops.


Book Synopsis Maximum-Entropy and Bayesian Methods in Inverse Problems by : C.R. Smith

Download or read book Maximum-Entropy and Bayesian Methods in Inverse Problems written by C.R. Smith and published by Springer Science & Business Media. This book was released on 1985-07-31 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982. The workshops were organized to bring together researchers from different fields to critically examine maxi mum-entropy and Bayesian methods in science, engineering, medicine, oceanography, economics, and other disciplines. An effort was made to maintain an informal environment where ideas could be easily ~xchanged. That the workshops were at least partially successful is borne out by the fact that there have been two succeeding workshops, and the upcoming Fifth Workshop promises to be the largest of all. These workshops and their proceedings could not have been brought to their final form without the substantial help of a number of people. The support of David Hofmann, the past chairman, and Glen Rebka, Jr. , the present chairman of the Physics Department of the University of Wyoming, has been strong and essential. Glen has taken a special interest in seeing that the proceedings have received the support required for their comple tion. The financial support of the Office of University Research Funds, University of Wyoming, is gratefully acknowledged. The secretarial staff, in particular Evelyn Haskell, Janice Gasaway, and Marce Mitchum, of the University of Wyoming Physics Department has contributed a great number of hours in helping C. Ray Smith organize and direct the workshops.


Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

Author: Vinit Kumar Gunjan

Publisher: Springer Nature

Published: 2020-10-17

Total Pages: 998

ISBN-13: 9811572348

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This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29–30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India. Discussing current trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area of artificial intelligence and cyber-physical systems, this book is a valuable resource for scientists, research scholars and PG students wanting formulate their research ideas and find the future directions in these areas. Further, it serves as a reference work anyone wishing to understand the latest technologies used by practicing engineers around the globe.


Book Synopsis Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications by : Vinit Kumar Gunjan

Download or read book Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2020-10-17 with total page 998 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29–30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India. Discussing current trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area of artificial intelligence and cyber-physical systems, this book is a valuable resource for scientists, research scholars and PG students wanting formulate their research ideas and find the future directions in these areas. Further, it serves as a reference work anyone wishing to understand the latest technologies used by practicing engineers around the globe.


Digital Image Analysis Using Maximum Entropy Concepts

Digital Image Analysis Using Maximum Entropy Concepts

Author: Jay B. Jordan

Publisher:

Published: 1984

Total Pages: 242

ISBN-13:

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Book Synopsis Digital Image Analysis Using Maximum Entropy Concepts by : Jay B. Jordan

Download or read book Digital Image Analysis Using Maximum Entropy Concepts written by Jay B. Jordan and published by . This book was released on 1984 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: