Digital Image Processing Global Edition
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Digital Image Processing Global Edition
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Author : Rafael C. Gonzalez
language : en
Publisher: Pearson UK
Release Date : 2018-06-21
Digital Image Processing Global Edition written by Rafael C. Gonzalez and has been published by Pearson UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-21 with Computers categories.
The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you will receive via email the code and instructions on how to access this product. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. For courses in Image Processing and Computer Vision. For years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), MERS, graph cuts, k-means clustering and superpiels, active contours (snakes and level sets), and each histogram matching. Major improvements were made in reorganising the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book.
Digital Image Processing
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Author : Rafael C. Gonzalez
language : en
Publisher: Prentice Hall
Release Date : 2008
Digital Image Processing written by Rafael C. Gonzalez and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
A comprehensive digital image processing book that reflects new trends in this field such as document image compression and data compression standards. The book includes a complete rewrite of image data compression, a new chapter on image analysis, and a new section on image morphology.
Ebook Management Information Systems Global Edition
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Author : James O'Brien
language : en
Publisher: McGraw Hill
Release Date : 2011-04-16
Ebook Management Information Systems Global Edition written by James O'Brien and has been published by McGraw Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-16 with Computers categories.
The benchmark text for the syllabus organised by technology (a week on databases, a week on networks, a week on systems development, etc.) taught from a managerial perspective. O’Brien's Management Information Systems defines technology and then explains how companies use the technology to improve performance. Real world cases finalise the explanation
Digital Image Processing
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Author : J.C. Simon
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Digital Image Processing written by J.C. Simon 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 2012-12-06 with Mathematics categories.
This book is the consequence of a NATO ASI held at the Chateau de BONAS, from June 23 to July 4, 1980. It contains the tutorial lectures and some papers presented at the Institute. The book is divided in four sections: Issue.s-, of general interest. Some topics are broader than the proper techniques of image processing, such as complexity, clustering, topology, physiology; but they may be of interest ... Feature detect'ion and evaluation. The first level feature detections are examined: edges and textures. Reorganization and improvement of the results are obtained by relaxation and opti mization process. Cooperative process are examined. Scenes and shapes. concerns higher level problems, and representation of images such as map and line-drawings. Applications in remote sensing, scene analysis, of one or of a sequence of images. It is hoped that this book will serve to update a domain In fast evolution. Acknowledgment: This ASI, and this book, have been made possible by the financial support of the NATO Scientific Affairs Division, and the material support of INRIA and the Institut de Programmation of the Universite P. et M. Curie. vii J. C. Simon and R. M. Haralick (eds.), Digital Image Processing, vii. Copyright © 1981 by D. Reidel Publishing Company. APPLICATION OF COMPLEXITY OF COMPUTATIONS TO SIGNAL PROCESSING S. Winograd IBM Thomas J. Watson Research Center Yorktown Heights, New York, U.S.A.
Intelligent Imaging And Analysis
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Author : DaeEun Kim
language : en
Publisher: MDPI
Release Date : 2020-03-05
Intelligent Imaging And Analysis written by DaeEun Kim and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-05 with Technology & Engineering categories.
Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artificial intelligence techniques, including deep learning. Many difficulties in image generation, reconstruction, de-noising skills, artifact removal, segmentation, detection, and control tasks are being overcome with the help of advanced artificial intelligence approaches. This Special Issue focuses on the latest developments of learning-based intelligent imaging techniques and subsequent analyses, which include photographic imaging, medical imaging, detection, segmentation, medical diagnosis, computer vision, and vision-based robot control. These latest technological developments will be shared through this Special Issue for the various researchers who are involved with imaging itself, or are using image data and analysis for their own specific purposes.
Digital Image Processing Using Python
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Author : Dr. Manish Kashyap
language : en
Publisher: BPB Publications
Release Date : 2025-01-28
Digital Image Processing Using Python written by Dr. Manish Kashyap and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-28 with Computers categories.
DESCRIPTION “Digital Image Processing Using Python" offers a comprehensive guide to mastering image processing techniques through practical Python implementations. It equips you with the essential tools and knowledge to manipulate, analyze, and transform digital images using the powerful programming language, Python. This book offers a comprehensive exploration of digital image processing, combining theoretical foundations with practical applications. Starting with fundamental concepts like image representation and pixel neighborhoods, the book teaches Python programming and essential libraries for image manipulation. It covers a wide range of techniques, including spatial and frequency domain filtering, non-linear processing, noise reduction, wavelet transforms, and binary morphology. Advanced topics such as phase-based processing, multi-resolution analysis, and morphological operations are also explored in depth. The book provides practical examples and exercises to reinforce learning and equip readers with the skills needed to effectively process and analyze digital images for various applications. By integrating Python code with visual examples, you will gain practical experience and insights that are directly applicable to your work. This approach ensures that you not only learn theoretical concepts but also understand how to implement them effectively in real-world situations. KEY FEATURES ● Builds a strong foundation in digital image processing, covering essential topics from basics to advanced techniques. ● Includes practical exercises to master Python programming and essential libraries like OpenCV and NumPy for image manipulation tasks. ● Applies concepts to real-world scenarios like image restoration, object detection, and medical imaging. WHAT YOU WILL LEARN ● Implement image processing techniques using Python libraries and tools. ● Understand core concepts like filtering, segmentation, and enhancement. ● Apply practical Python code to real-world image processing tasks. ● Develop skills to analyze and manipulate digital images effectively. ● Create and visualize image processing algorithms with hands-on examples. WHO THIS BOOK IS FOR This book is perfect for undergraduate and master's level students seeking to grasp image processing concepts or professionals working in fields like computer vision, artificial intelligence, or medical imaging. TABLE OF CONTENTS 1. Introduction to Digital Images 2. Python Fundamentals and Related Libraries 3. Playing with Digital Images 4. Spatial Domain Processing 5. Frequency Domain Image Processing 6. Non-linear Image Processing and the Issue of Phase 7. Noise and Image Restoration 8. Wavelet Transform and Multi-resolution Analysis 9. Binary Morphology
Proceedings Of Elm 2021
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Author : Kaj-Mikael Björk
language : en
Publisher: Springer Nature
Release Date : 2023-01-18
Proceedings Of Elm 2021 written by Kaj-Mikael Björk and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-18 with Technology & Engineering categories.
This book contains papers from the International Conference on Extreme Learning Machine 2021, which was held in virtual on December 15–16, 2021. Extreme learning machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental `learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. This conference provides a forum for academics, researchers, and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. This book covers theories, algorithms, and applications of ELM. It gives readers a glance of the most recent advances of ELM.
Cloud Security
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Author : Brij B. Gupta
language : en
Publisher: CRC Press
Release Date : 2021-05-25
Cloud Security written by Brij B. Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-25 with Computers categories.
Cloud computing is an indispensable part of the modern Information and Communication Technology (ICT) systems. Cloud computing services have proven to be of significant importance, and promote quickly deployable and scalable IT solutions with reduced infrastructure costs. However, utilization of cloud also raises concerns such as security, privacy, latency, and governance, that keep it from turning into the predominant option for critical frameworks. As such, there is an urgent need to identify these concerns and to address them. Cloud Security: Concepts, Applications and Perspectives is a comprehensive work with substantial technical details for introducing the state-of-the-art research and development on various approaches for security and privacy of cloud services; novel attacks on cloud services; cloud forensics; novel defenses for cloud service attacks; and cloud security analysis. It discusses the present techniques and methodologies, and provides a wide range of examples and illustrations to effectively show the concepts, applications, and perspectives of security in cloud computing. This highly informative book will prepare readers to exercise better protection by understanding the motivation of attackers and to deal with them to mitigate the situation. In addition, it covers future research directions in the domain. This book is suitable for professionals in the field, researchers, students who are want to carry out research in the field of computer and cloud security, faculty members across universities, and software developers engaged in software development in the field.
Pattern Recognition
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Author : Efrén Mezura-Montes
language : en
Publisher: Springer Nature
Release Date : 2024-06-16
Pattern Recognition written by Efrén Mezura-Montes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-16 with Computers categories.
This book constitutes the proceedings of the 16th Mexican Conference on Pattern Recognition, MCPR 2024, held in Xalapa, Mexico, during June 19–22, 2024, Proceedings. The 36 full papers were carefully reviewed and selected from 68 submissions. The papers are organized in subject areas as follows: Pattern Recognition and Machine Learning Techniques; Computer Vision; Medical Applications of Pattern Recognition; Language Processing and Recognition; Deep Learning and Neural Networks.
Sensing Data Managing And Control Technologies For Agricultural Systems
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Author : Shaochun Ma
language : en
Publisher: Springer Nature
Release Date : 2022-06-06
Sensing Data Managing And Control Technologies For Agricultural Systems written by Shaochun Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-06 with Technology & Engineering categories.
Agricultural automation is the emerging technologies which heavily rely on computer-integrated management and advanced control systems. The tedious farming tasks had been taken over by agricultural machines in last century, in new millennium, computer-aided systems, automation, and robotics has been applied to precisely manage agricultural production system. With agricultural automation technologies, sustainable agriculture is being developed based on efficient use of land, increased conservation of water, fertilizer and energy resources. The agricultural automation technologies refer to related areas in sensing & perception, reasoning & learning, data communication, and task planning & execution. Since the literature on this diverse subject is widely scattered, it is necessary to review current status and capture the future challenges through a comprehensive monograph. In this book we focus on agricultural automation and provide critical reviews of advanced control technologies, their merits and limitations, application areas and research opportunities for further development. This collection thus serves as an authoritative treatise that can help researchers, engineers, educators, and students in the field of sensing, control, and automation technologies for production agriculture.