Image Processing And Capsule Networks

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Image Processing and Capsule Networks

Author : Joy Iong-Zong Chen
Publisher : Springer Nature
ISBN 13 : 3030518590
Total Pages : 829 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Image Processing and Capsule Networks by : Joy Iong-Zong Chen

Download or read book Image Processing and Capsule Networks written by Joy Iong-Zong Chen and published by Springer Nature. This book was released on 2020-07-23 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence. The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.

Second International Conference on Image Processing and Capsule Networks

Author : Joy Iong-Zong Chen
Publisher : Springer Nature
ISBN 13 : 3030847608
Total Pages : 840 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Second International Conference on Image Processing and Capsule Networks by : Joy Iong-Zong Chen

Download or read book Second International Conference on Image Processing and Capsule Networks written by Joy Iong-Zong Chen and published by Springer Nature. This book was released on 2021-09-09 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications. The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.

Third International Conference on Image Processing and Capsule Networks

Author : Joy Iong-Zong Chen
Publisher : Springer Nature
ISBN 13 : 3031124138
Total Pages : 855 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Third International Conference on Image Processing and Capsule Networks by : Joy Iong-Zong Chen

Download or read book Third International Conference on Image Processing and Capsule Networks written by Joy Iong-Zong Chen and published by Springer Nature. This book was released on 2022-07-28 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations. Image processing technology has progressed significantly in recent years, and it has been commercialized worldwide to provide superior performance with enhanced computer/machine vision, video processing, and pattern recognition capabilities. Meanwhile, machine learning systems like CNN and CapsNet get popular to provide better model hierarchical relationships and attempts to more closely mimic biological neural organization. As machine learning systems prosper, image processing and machine learning techniques will be tightly intertwined and continuously promote each other in real-world settings. Adopting this trend, however, the image processing researchers are faced with few image reconstruction, analysis, and segmentation challenges. On the application side, the orientation of the image features and noise removal has become a huge burden.

Fourth International Conference on Image Processing and Capsule Networks

Author : Subarna Shakya
Publisher : Springer Nature
ISBN 13 : 9819970938
Total Pages : 741 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Fourth International Conference on Image Processing and Capsule Networks by : Subarna Shakya

Download or read book Fourth International Conference on Image Processing and Capsule Networks written by Subarna Shakya and published by Springer Nature. This book was released on 2023-12-19 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research papers presented at the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023), which is held in Bangkok, Thailand, during 10–11 August 2023. This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.

TensorFlow Machine Learning Projects

Author : Ankit Jain
Publisher : Packt Publishing Ltd
ISBN 13 : 1789132401
Total Pages : 311 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis TensorFlow Machine Learning Projects by : Ankit Jain

Download or read book TensorFlow Machine Learning Projects written by Ankit Jain and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement TensorFlow's offerings such as TensorBoard, TensorFlow.js, TensorFlow Probability, and TensorFlow Lite to build smart automation projects Key FeaturesUse machine learning and deep learning principles to build real-world projectsGet to grips with TensorFlow's impressive range of module offeringsImplement projects on GANs, reinforcement learning, and capsule networkBook Description TensorFlow has transformed the way machine learning is perceived. TensorFlow Machine Learning Projects teaches you how to exploit the benefits—simplicity, efficiency, and flexibility—of using TensorFlow in various real-world projects. With the help of this book, you’ll not only learn how to build advanced projects using different datasets but also be able to tackle common challenges using a range of libraries from the TensorFlow ecosystem. To start with, you’ll get to grips with using TensorFlow for machine learning projects; you’ll explore a wide range of projects using TensorForest and TensorBoard for detecting exoplanets, TensorFlow.js for sentiment analysis, and TensorFlow Lite for digit classification. As you make your way through the book, you’ll build projects in various real-world domains, incorporating natural language processing (NLP), the Gaussian process, autoencoders, recommender systems, and Bayesian neural networks, along with trending areas such as Generative Adversarial Networks (GANs), capsule networks, and reinforcement learning. You’ll learn how to use the TensorFlow on Spark API and GPU-accelerated computing with TensorFlow to detect objects, followed by how to train and develop a recurrent neural network (RNN) model to generate book scripts. By the end of this book, you’ll have gained the required expertise to build full-fledged machine learning projects at work. What you will learnUnderstand the TensorFlow ecosystem using various datasets and techniquesCreate recommendation systems for quality product recommendationsBuild projects using CNNs, NLP, and Bayesian neural networksPlay Pac-Man using deep reinforcement learningDeploy scalable TensorFlow-based machine learning systemsGenerate your own book script using RNNsWho this book is for TensorFlow Machine Learning Projects is for you if you are a data analyst, data scientist, machine learning professional, or deep learning enthusiast with basic knowledge of TensorFlow. This book is also for you if you want to build end-to-end projects in the machine learning domain using supervised, unsupervised, and reinforcement learning techniques

Handbook of Digital Face Manipulation and Detection

Author : Christian Rathgeb
Publisher : Springer Nature
ISBN 13 : 3030876640
Total Pages : 487 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Handbook of Digital Face Manipulation and Detection by : Christian Rathgeb

Download or read book Handbook of Digital Face Manipulation and Detection written by Christian Rathgeb and published by Springer Nature. This book was released on 2022-01-31 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.

Machine Learning, Image Processing, Network Security and Data Sciences

Author : Arup Bhattacharjee
Publisher : Springer Nature
ISBN 13 : 9811563187
Total Pages : 665 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Machine Learning, Image Processing, Network Security and Data Sciences by : Arup Bhattacharjee

Download or read book Machine Learning, Image Processing, Network Security and Data Sciences written by Arup Bhattacharjee and published by Springer Nature. This book was released on 2020-06-24 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to July 2020. The 79 full papers and 4 short papers were thoroughly reviewed and selected from 219 submissions. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cyber security.

Design and Architecture for Signal and Image Processing

Author : Karol Desnos
Publisher : Springer Nature
ISBN 13 : 303112748X
Total Pages : 179 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Design and Architecture for Signal and Image Processing by : Karol Desnos

Download or read book Design and Architecture for Signal and Image Processing written by Karol Desnos and published by Springer Nature. This book was released on 2022-07-29 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on Design and Architecture for Signal and Image Processing, DASIP 2022, held in Budaypest, Hungary in June 2022. The 13 full included in the volume were carefully reviewed and selected from 32 submissions. They are organized in the following topical sections: leading signal, image and video processing and machine learning in custom embedded, edge and cloud computing architectures and systems.

Computer Vision and Image Processing

Author : Balasubramanian Raman
Publisher : Springer Nature
ISBN 13 : 3031113462
Total Pages : 616 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Computer Vision and Image Processing by : Balasubramanian Raman

Download or read book Computer Vision and Image Processing written by Balasubramanian Raman and published by Springer Nature. This book was released on 2022-07-23 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International Conference on Computer Vision and Image Processing, CVIP 2021, held in Rupnagar, India, in December 2021. The 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.

Computer Vision and Image Processing

Author : Satish Kumar Singh
Publisher : Springer Nature
ISBN 13 : 981161086X
Total Pages : 537 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computer Vision and Image Processing by : Satish Kumar Singh

Download or read book Computer Vision and Image Processing written by Satish Kumar Singh and published by Springer Nature. This book was released on 2021-03-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set (CCIS 1376-1378) constitutes the refereed proceedings of the 5th International Conference on Computer Vision and Image Processing, CVIP 2020, held in Prayagraj, India, in December 2020. Due to the COVID-19 pandemic the conference was partially held online. The 134 papers papers were carefully reviewed and selected from 352 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.

Computer Vision and Image Processing

Author : Deep Gupta
Publisher : Springer Nature
ISBN 13 : 3031314174
Total Pages : 767 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Computer Vision and Image Processing by : Deep Gupta

Download or read book Computer Vision and Image Processing written by Deep Gupta and published by Springer Nature. This book was released on 2023-05-06 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (CCIS 1776-1777) constitutes the refereed proceedings of the 7th International Conference on Computer Vision and Image Processing, CVIP 2022, held in Nagpur, India, November 4–6, 2022. The 110 full papers and 11 short papers were carefully reviewed and selected from 307 submissions. Out of 121 papers, 109 papers are included in this book. The topical scope of the two-volume set focuses on Medical Image Analysis, Image/ Video Processing for Autonomous Vehicles, Activity Detection/ Recognition, Human Computer Interaction, Segmentation and Shape Representation, Motion and Tracking, Image/ Video Scene Understanding, Image/Video Retrieval, Remote Sensing, Hyperspectral Image Processing, Face, Iris, Emotion, Sign Language and Gesture Recognition, etc.

Intelligent Computing and Optimization

Author : Pandian Vasant
Publisher : Springer Nature
ISBN 13 : 3031362462
Total Pages : 364 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Intelligent Computing and Optimization by : Pandian Vasant

Download or read book Intelligent Computing and Optimization written by Pandian Vasant and published by Springer Nature. This book was released on 2023-12-12 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book of Springer Nature is another proof of Springer’s outstanding greatness on the lively interface of Holistic Computational Optimization, Green IoTs, Smart Modeling, and Deep Learning! It is a masterpiece of what our community of academics and experts can provide when an interconnected approach of joint, mutual, and meta-learning is supported by advanced operational research and experience of the World-Leader Springer Nature! The 6th edition of International Conference on Intelligent Computing and Optimization took place at G Hua Hin Resort & Mall on April 27–28, 2023, with tremendous support from the global research scholars across the planet. Objective is to celebrate “Research Novelty with Compassion and Wisdom” with researchers, scholars, experts, and investigators in Intelligent Computing and Optimization across the globe, to share knowledge, experience, and innovation—a marvelous opportunity for discourse and mutuality by novel research, invention, and creativity. This proceedings book of the 6th ICO’2023 is published by Springer Nature—Quality Label of Enlightenment.

Deep Learning for Medical Image Analysis

Author : S. Kevin Zhou
Publisher : Academic Press
ISBN 13 : 0323858880
Total Pages : 544 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Deep Learning for Medical Image Analysis by : S. Kevin Zhou

Download or read book Deep Learning for Medical Image Analysis written by S. Kevin Zhou and published by Academic Press. This book was released on 2023-11-23 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.· Covers common research problems in medical image analysis and their challenges · Describes the latest deep learning methods and the theories behind approaches for medical image analysis · Teaches how algorithms are applied to a broad range of application areas including cardiac, neural and functional, colonoscopy, OCTA applications and model assessment · Includes a Foreword written by Nicholas Ayache

Pattern Recognition and Machine Intelligence

Author : Bhabesh Deka
Publisher : Springer Nature
ISBN 13 : 3030348695
Total Pages : 678 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Pattern Recognition and Machine Intelligence by : Bhabesh Deka

Download or read book Pattern Recognition and Machine Intelligence written by Bhabesh Deka and published by Springer Nature. This book was released on 2019-11-25 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019. The 131 revised full papers presented were carefully reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning; Soft and Evolutionary Computing; Image Processing; Medical Image Processing; Bioinformatics and Biomedical Signal Processing; Information Retrieval; Remote Sensing; Signal and Video Processing; and Smart and Intelligent Sensors.

Computer Vision and Recognition Systems

Author : Chiranji Lal Chowdhary
Publisher : CRC Press
ISBN 13 : 1000400778
Total Pages : 272 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Computer Vision and Recognition Systems by : Chiranji Lal Chowdhary

Download or read book Computer Vision and Recognition Systems written by Chiranji Lal Chowdhary and published by CRC Press. This book was released on 2022-03-10 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book explains the essential modules that are necessary for comprehending artificial intelligence experiences to provide machines with the power of vision. The volume also presents innovative research developments, applications, and current trends in the field. The chapters cover such topics as visual quality improvement, Parkinson’s disease diagnosis, hypertensive retinopathy detection through retinal fundus, big image data processing, N-grams for image classification, medical brain images, chatbot applications, credit score improvisation, vision-based vehicle lane detection, damaged vehicle parts recognition, partial image encryption of medical images, and image synthesis. The chapter authors show different approaches to computer vision, image processing, and frameworks for machine learning to build automated and stable applications. Deep learning is included for making immersive application-based systems, pattern recognition, and biometric systems. The book also considers efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.

Deep Natural Language Processing and AI Applications for Industry 5.0

Author : Tanwar, Poonam
Publisher : IGI Global
ISBN 13 : 1799877302
Total Pages : 240 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Natural Language Processing and AI Applications for Industry 5.0 by : Tanwar, Poonam

Download or read book Deep Natural Language Processing and AI Applications for Industry 5.0 written by Tanwar, Poonam and published by IGI Global. This book was released on 2021-06-25 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: To sustain and stay at the top of the market and give absolute comfort to the consumers, industries are using different strategies and technologies. Natural language processing (NLP) is a technology widely penetrating the market, irrespective of the industry and domains. It is extensively applied in businesses today, and it is the buzzword in every engineer’s life. NLP can be implemented in all those areas where artificial intelligence is applicable either by simplifying the communication process or by refining and analyzing information. Neural machine translation has improved the imitation of professional translations over the years. When applied in neural machine translation, NLP helps educate neural machine networks. This can be used by industries to translate low-impact content including emails, regulatory texts, etc. Such machine translation tools speed up communication with partners while enriching other business interactions. Deep Natural Language Processing and AI Applications for Industry 5.0 provides innovative research on the latest findings, ideas, and applications in fields of interest that fall under the scope of NLP including computational linguistics, deep NLP, web analysis, sentiments analysis for business, and industry perspective. This book covers a wide range of topics such as deep learning, deepfakes, text mining, blockchain technology, and more, making it a crucial text for anyone interested in NLP and artificial intelligence, including academicians, researchers, professionals, industry experts, business analysts, data scientists, data analysts, healthcare system designers, intelligent system designers, practitioners, and students.

Recent Trends in Image Processing and Pattern Recognition

Author : K. C. Santosh
Publisher : Springer
ISBN 13 : 981139184X
Total Pages : 559 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Recent Trends in Image Processing and Pattern Recognition by : K. C. Santosh

Download or read book Recent Trends in Image Processing and Pattern Recognition written by K. C. Santosh and published by Springer. This book was released on 2019-07-15 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-book set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.