Intelligent Imaging And Analysis

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Intelligent Imaging and Analysis

DaeEun Kim,Dosik Hwang
Intelligent Imaging and Analysis Book PDF

Author : DaeEun Kim,Dosik Hwang
Publisher : MDPI
Page : 492 pages
File Size : 52,8 Mb
Release : 2020-03-05
Category : Technology & Engineering
ISBN : 9783039219209

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Intelligent Imaging and Analysis by DaeEun Kim,Dosik Hwang Pdf

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.

Intelligent Imaging and Analysis

DaeEun Kim,Dosik Hwang
Intelligent Imaging and Analysis Book PDF

Author : DaeEun Kim,Dosik Hwang
Publisher : Unknown
Page : 492 pages
File Size : 47,7 Mb
Release : 2020
Category : Engineering (General). Civil engineering (General)
ISBN : 3039219219

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Intelligent Imaging and Analysis by DaeEun Kim,Dosik Hwang Pdf

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.

Advances in Computerized Analysis in Clinical and Medical Imaging

J Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz
Advances in Computerized Analysis in Clinical and Medical Imaging Book PDF

Author : J Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz
Publisher : CRC Press
Page : 264 pages
File Size : 43,9 Mb
Release : 2019-10-28
Category : Computers
ISBN : 9780429820496

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Advances in Computerized Analysis in Clinical and Medical Imaging by J Dinesh Peter,Steven Lawrence Fernandes,Carlos Eduardo Thomaz Pdf

Advances in Computerized Analysis in Clinical and Medical Imaging book is devoted for spreading of knowledge through the publication of scholarly research, primarily in the fields of clinical & medical imaging. The types of chapters consented include those that cover the development and implementation of algorithms and strategies based on the use of geometrical, statistical, physical, functional to solve the following types of problems, using medical image datasets: visualization, feature extraction, segmentation, image-guided surgery, representation of pictorial data, statistical shape analysis, computational physiology and telemedicine with medical images. This book highlights annotations for all the medical and clinical imaging researchers’ a fundamental advances of clinical and medical image analysis techniques. This book will be a good source for all the medical imaging and clinical research professionals, outstanding scientists, and educators from all around the world for network of knowledge sharing. This book will comprise high quality disseminations of new ideas, technology focus, research results and discussions on the evolution of Clinical and Medical image analysis techniques for the benefit of both scientific and industrial developments. Features: Research aspects in clinical and medical image processing Human Computer Interaction and interface in imaging diagnostics Intelligent Imaging Systems for effective analysis using machine learning algorithms Clinical and Scientific Evaluation of Imaging Studies Computer-aided disease detection and diagnosis Clinical evaluations of new technologies Mobility and assistive devices for challenged and elderly people This book serves as a reference book for researchers and doctoral students in the clinical and medical imaging domain including radiologists. Industries that manufacture imaging modality systems and develop optical systems would be especially interested in the challenges and solutions provided in the book. Professionals and practitioners in the medical and clinical imaging may be benefited directly from authors’ experiences.

Intelligent Image Analysis for Plant Phenotyping

Ashok Samal,Sruti Das Choudhury
Intelligent Image Analysis for Plant Phenotyping Book PDF

Author : Ashok Samal,Sruti Das Choudhury
Publisher : CRC Press
Page : 271 pages
File Size : 53,5 Mb
Release : 2020-10-21
Category : Computers
ISBN : 9781351709989

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Intelligent Image Analysis for Plant Phenotyping by Ashok Samal,Sruti Das Choudhury Pdf

Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.

Innovations in Intelligent Image Analysis

Halina Kwasnicka,Lakhmi C. Jain
Innovations in Intelligent Image Analysis Book PDF

Author : Halina Kwasnicka,Lakhmi C. Jain
Publisher : Springer Science & Business Media
Page : 329 pages
File Size : 50,9 Mb
Release : 2011-02-17
Category : Computers
ISBN : 9783642179334

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Innovations in Intelligent Image Analysis by Halina Kwasnicka,Lakhmi C. Jain Pdf

This book presents an introduction to new and important research in the images processing and analysis area. It is hoped that this book will be useful for scientists and students involved in many aspects of image analysis. The book does not attempt to cover all of the aspects of Computer Vision, but the chapters do present some state of the art examples.

Intelligent Image Analysis for Plant Phenotyping

Ashok Samal,Sruti Das Choudhury
Intelligent Image Analysis for Plant Phenotyping Book PDF

Author : Ashok Samal,Sruti Das Choudhury
Publisher : CRC Press
Page : 347 pages
File Size : 49,6 Mb
Release : 2020-10-21
Category : Computers
ISBN : 9781351709996

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Intelligent Image Analysis for Plant Phenotyping by Ashok Samal,Sruti Das Choudhury Pdf

Domesticated crops are the result of artificial selection for particular phenotypes or, in some cases, natural selection for an adaptive trait. Plant traits can be identified through image-based plant phenotyping, a process that was, until recently, strenous and time-consuming. Intelligent Image Analysis for Plant Phenotyping reviews information on time-saving techniques, using computer vision and imaging technologies. These methodologies provide an automated, non-invasive, and scalable mechanism by which to define and collect plant phenotypes. Beautifully illustrated, with numerous color images, the book focuses on phenotypes measured from individual plants under controlled experimental conditions, which are widely available in high-throughput systems. Features: Presents methodologies for image processing, including data-driven and machine learning techniques for plant phenotyping. Features information on advanced techniques for extracting phenotypes through images and image sequences captured in a variety of modalities. Includes real-world scientific problems, including predicting yield by modeling interactions between plant data and environmental information. Discusses the challenge of translating images into biologically informative quantitative phenotypes. A practical resource for students, researchers, and practitioners, this book is invaluable for those working in the emerging fields at the intersection of computer vision and plant sciences.

New Approaches in Intelligent Image Analysis

Roumen Kountchev,Kazumi Nakamatsu
New Approaches in Intelligent Image Analysis Book PDF

Author : Roumen Kountchev,Kazumi Nakamatsu
Publisher : Springer
Page : 373 pages
File Size : 49,8 Mb
Release : 2016-05-19
Category : Technology & Engineering
ISBN : 9783319321929

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New Approaches in Intelligent Image Analysis by Roumen Kountchev,Kazumi Nakamatsu Pdf

This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms and applied systems for intelligent image processing, on the following basic topics: Methods for Hierarchical Image Decomposition; Intelligent Digital Signal Processing and Feature Extraction; Data Clustering and Visualization via Echo State Networks; Clustering of Natural Images in Automatic Image Annotation Systems; Control System for Remote Sensing Image Processing; Tissue Segmentation of MR Brain Images Sequence; Kidney Cysts Segmentation in CT Images; Audio Visual Attention Models in Mobile Robots Navigation; Local Adaptive Image Processing; Learning Techniques for Intelligent Access Control; Resolution Improvement in Acoustic Maps. Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.

Innovations in Intelligent Image Analysis

Halina Kwasnicka,Lakhmi C Jain
Innovations in Intelligent Image Analysis Book PDF

Author : Halina Kwasnicka,Lakhmi C Jain
Publisher : Springer
Page : 312 pages
File Size : 51,6 Mb
Release : 2011-02-17
Category : Technology & Engineering
ISBN : 9783642179341

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Innovations in Intelligent Image Analysis by Halina Kwasnicka,Lakhmi C Jain Pdf

This book presents an introduction to new and important research in the images processing and analysis area. It is hoped that this book will be useful for scientists and students involved in many aspects of image analysis. The book does not attempt to cover all of the aspects of Computer Vision, but the chapters do present some state of the art examples.

Intelligent Image and Video Interpretation: Algorithms and Applications

Tian, Jing
Intelligent Image and Video Interpretation Algorithms and Applications Book PDF

Author : Tian, Jing
Publisher : IGI Global
Page : 277 pages
File Size : 43,9 Mb
Release : 2013-04-30
Category : Computers
ISBN : 9781466639591

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Intelligent Image and Video Interpretation: Algorithms and Applications by Tian, Jing Pdf

Due to increasing potential in real-world applications such as visual communications, computer assisted biomedical imaging, and video surveillance, image and video interpretations have become an area of growing interest. Intelligent Image and Video Interpretation: Algorithms and Applications covers all aspects of image and video analysis from low-level early visions to high-level recognition. This publication highlights how these techniques have become applicable and will prove to be a valuable tool for researchers, professionals, and graduate students working or studying the fields of imaging and video processing.

Intelligent Image Processing in Prolog

Bruce G. Batchelor
Intelligent Image Processing in Prolog Book PDF

Author : Bruce G. Batchelor
Publisher : Springer Science & Business Media
Page : 383 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447104018

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Intelligent Image Processing in Prolog by Bruce G. Batchelor Pdf

After a slow and somewhat tentative beginning, machine vision systems are now finding widespread use in industry. So far, there have been four clearly discernible phases in their development, based upon the types of images processed and how that processing is performed: (1) Binary (two level) images, processing in software (2) Grey-scale images, processing in software (3) Binary or grey-scale images processed in fast, special-purpose hardware (4) Coloured/multi-spectral images Third-generation vision systems are now commonplace, although a large number of binary and software-based grey-scale processing systems are still being sold. At the moment, colour image processing is commercially much less significant than the other three and this situation may well remain for some time, since many industrial artifacts are nearly monochrome and the use of colour increases the cost of the equipment significantly. A great deal of colour image processing is a straightforward extension of standard grey-scale methods. Industrial applications of machine vision systems can also be sub divided, this time into two main areas, which have largely retained distinct identities: (i) Automated Visual Inspection (A VI) (ii) Robot Vision (RV) This book is about a fifth generation of industrial vision systems, in which this distinction, based on applications, is blurred and the processing is marked by being much smarter (i. e. more "intelligent") than in the other four generations.

Radiomics and Its Clinical Application

Jie Tian,Di Dong,Zhenyu Liu,Jingwei Wei
Radiomics and Its Clinical Application Book PDF

Author : Jie Tian,Di Dong,Zhenyu Liu,Jingwei Wei
Publisher : Academic Press
Page : 302 pages
File Size : 46,7 Mb
Release : 2021-06-03
Category : Computers
ISBN : 9780128181027

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Radiomics and Its Clinical Application by Jie Tian,Di Dong,Zhenyu Liu,Jingwei Wei Pdf

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice. An introduction to the concepts of radiomics In-depth presentation of the core technologies and methods Summary of current radiomics research, perspective on the future of radiomics and the challenges ahead An introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms

Medical Imaging

K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
Medical Imaging Book PDF

Author : K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey
Publisher : CRC Press
Page : 200 pages
File Size : 43,9 Mb
Release : 2019-08-20
Category : Computers
ISBN : 9780429639326

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Medical Imaging by K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey Pdf

The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.

Advanced Machine Vision Paradigms for Medical Image Analysis

Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
Advanced Machine Vision Paradigms for Medical Image Analysis Book PDF

Author : Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey
Publisher : Academic Press
Page : 308 pages
File Size : 55,8 Mb
Release : 2020-08-11
Category : Computers
ISBN : 9780128192962

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Advanced Machine Vision Paradigms for Medical Image Analysis by Tapan K. Gandhi,Siddhartha Bhattacharyya,Sourav De,Debanjan Konar,Sandip Dey Pdf

Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis

Advancement of Machine Intelligence in Interactive Medical Image Analysis

Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal
Advancement of Machine Intelligence in Interactive Medical Image Analysis Book PDF

Author : Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal
Publisher : Springer Nature
Page : 336 pages
File Size : 51,8 Mb
Release : 2019-12-11
Category : Computers
ISBN : 9789811511004

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Advancement of Machine Intelligence in Interactive Medical Image Analysis by Om Prakash Verma,Sudipta Roy,Subhash Chandra Pandey,Mamta Mittal Pdf

The book discusses major technical advances and research findings in the field of machine intelligence in medical image analysis. It examines the latest technologies and that have been implemented in clinical practice, such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy. This book provides insights into the basic science involved in processing, analysing, and utilising all aspects of advanced computational intelligence in medical decision-making based on medical imaging.

Hybrid Intelligence for Image Analysis and Understanding

Siddhartha Bhattacharyya,Indrajit Pan,Anirban Mukherjee,Paramartha Dutta
Hybrid Intelligence for Image Analysis and Understanding Book PDF

Author : Siddhartha Bhattacharyya,Indrajit Pan,Anirban Mukherjee,Paramartha Dutta
Publisher : John Wiley & Sons
Page : 463 pages
File Size : 40,6 Mb
Release : 2017-10-02
Category : Technology & Engineering
ISBN : 9781119242925

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Hybrid Intelligence for Image Analysis and Understanding by Siddhartha Bhattacharyya,Indrajit Pan,Anirban Mukherjee,Paramartha Dutta Pdf

A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the methods of computational intelligence, with an emphasis on hybrid intelligent methods applied to image analysis and understanding. The book offers a diverse range of hybrid intelligence techniques under the umbrellas of image thresholding, image segmentation, image analysis and video analysis. Key features: Provides in-depth analysis of hybrid intelligent paradigms. Divided into self-contained chapters. Provides ample case studies, illustrations and photographs of real-life examples to illustrate findings and applications of different hybrid intelligent paradigms. Offers new solutions to recent problems in computer science, specifically in the application of hybrid intelligent techniques for image analysis and understanding, using well-known contemporary algorithms. The book is essential reading for lecturers, researchers and graduate students in electrical engineering and computer science.