Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images

Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images PDF Author: Valentina Zharkova
Publisher: Springer
ISBN: 3540475184
Category : Technology & Engineering
Languages : en
Pages : 388

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Book Description
This book presents innovative techniques in recognition and classification of astrophysical and medical images. Coverage includes: image standardization and enhancement; region-based methods for pattern recognition in medical and astrophysical images; advanced information processing using statistical methods; and feature recognition and classification using spectral method.

Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images

Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images PDF Author: Valentina Zharkova
Publisher: Springer
ISBN: 3540475184
Category : Technology & Engineering
Languages : en
Pages : 388

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Book Description
This book presents innovative techniques in recognition and classification of astrophysical and medical images. Coverage includes: image standardization and enhancement; region-based methods for pattern recognition in medical and astrophysical images; advanced information processing using statistical methods; and feature recognition and classification using spectral method.

Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images

Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images PDF Author: Valentina Zharkova
Publisher: Springer Science & Business Media
ISBN: 3540475117
Category : Computers
Languages : en
Pages : 388

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Book Description
This book presents innovative techniques in recognition and classification of astrophysical and medical images. Coverage includes: image standardization and enhancement; region-based methods for pattern recognition in medical and astrophysical images; advanced information processing using statistical methods; and feature recognition and classification using spectral method.

Medical Imaging

Medical Imaging PDF Author: K.C. Santosh
Publisher: CRC Press
ISBN: 0429639325
Category : Computers
Languages : en
Pages : 200

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Book Description
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.

New Directions in Intelligent Interactive Multimedia

New Directions in Intelligent Interactive Multimedia PDF Author: George A Tsihrintzis
Publisher: Springer Science & Business Media
ISBN: 3540681264
Category : Mathematics
Languages : en
Pages : 633

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Book Description
This book summarizes the works and new research results presented at the First International Symposium on Intelligent Interactive Multimedia Systems and Services (KES-IIMSS 2008), organized by the University of Piraeus and its Depa- ment of Informatics in conjunction with KES International (Piraeus, Greece, July 9–11, 2008). The aim of the symposium was to provide an internationally respected forum for scientific research into the technologies and applications of intelligent int- active multimedia systems and services. Besides the Preface, the book contains sixty four (64) chapters. The first four (4) chapters in the book are printed versions of the keynote addresses of the invited speakers of KES-IIMSS 2008. Besides the invited speaker chapters, the book contains fifteen (15) chapters on recent Advances in Multimedia Data Analysis, eleven (11) chapters on Reasoning Approaches, nine (9) chapters on Infrastructure of Intelligent Interactive Multimedia Systems and Services, fourteen (14) chapters on Multimedia Applications, and eleven (11) chapters on Quality of Interactive Multimedia Services.

Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry

Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry PDF Author: Petra Perner
Publisher: Springer
ISBN: 3540763007
Category : Computers
Languages : en
Pages : 183

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Book Description
This book constitutes the refereed proceedings of the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry, MDA 2007. The topics include techniques and developments of signal and image producing procedures, object matching and object tracking in microscopic and video microscopic images, image segmentation algorithms, parallelization of image analysis and semantic tagging of images from life science applications.

Variants of Evolutionary Algorithms for Real-World Applications

Variants of Evolutionary Algorithms for Real-World Applications PDF Author: Raymond Chiong
Publisher: Springer Science & Business Media
ISBN: 3642234240
Category : Technology & Engineering
Languages : en
Pages : 470

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Book Description
Evolutionary Algorithms (EAs) are population-based, stochastic search algorithms that mimic natural evolution. Due to their ability to find excellent solutions for conventionally hard and dynamic problems within acceptable time, EAs have attracted interest from many researchers and practitioners in recent years. This book “Variants of Evolutionary Algorithms for Real-World Applications” aims to promote the practitioner’s view on EAs by providing a comprehensive discussion of how EAs can be adapted to the requirements of various applications in the real-world domains. It comprises 14 chapters, including an introductory chapter re-visiting the fundamental question of what an EA is and other chapters addressing a range of real-world problems such as production process planning, inventory system and supply chain network optimisation, task-based jobs assignment, planning for CNC-based work piece construction, mechanical/ship design tasks that involve runtime-intense simulations, data mining for the prediction of soil properties, automated tissue classification for MRI images, and database query optimisation, among others. These chapters demonstrate how different types of problems can be successfully solved using variants of EAs and how the solution approaches are constructed, in a way that can be understood and reproduced with little prior knowledge on optimisation.

Computer Vision Technology in the Food and Beverage Industries

Computer Vision Technology in the Food and Beverage Industries PDF Author: D-W Sun
Publisher: Elsevier
ISBN: 0857095773
Category : Technology & Engineering
Languages : en
Pages : 524

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Book Description
The use of computer vision systems to control manufacturing processes and product quality has become increasingly important in food processing. Computer vision technology in the food and beverage industries reviews image acquisition and processing technologies and their applications in particular sectors of the food industry.Part one provides an introduction to computer vision in the food and beverage industries, discussing computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing. Part two goes on to consider computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure. Current and future applications of computer vision in specific areas of the food and beverage industries are the focus of part three. Techniques for quality control of meats are discussed alongside computer vision in the poultry, fish and bakery industries, including techniques for grain quality evaluation, and the evaluation and control of fruit, vegetable and nut quality.With its distinguished editor and international team of expert contributors, Computer vision technology in the food and beverage industries is an indispensible guide for all engineers and researchers involved in the development and use of state-of-the-art vision systems in the food industry. Discusses computer vision and infrared techniques for image analysis, hyperspectral and multispectral imaging, tomographic techniques and image processing Considers computer vision technologies for automatic sorting, foreign body detection and removal, automated cutting and image analysis of food microstructure Examines techniques for quality control and computer vision in various industries including the poultry, fish and bakery, fruit, vegetable and nut industry

Evolution of the Web in Artificial Intelligence Environments

Evolution of the Web in Artificial Intelligence Environments PDF Author: Richi Nayak
Publisher: Springer
ISBN: 354079140X
Category : Technology & Engineering
Languages : en
Pages : 284

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Book Description
The Web has revolutionized the way we seek information on all aspects of education, entertainment, business, health and so on. The Web has evolved into a publishing medium, global electronic market and increasingly, a platform for conducting electronic commerce. A part of this success can be attributed to the tremendous advances made in the Artificial Intelligence field. The popularity of the Web has opened many opportunities to develop smart Web-based systems using artificial intelligence techniques. There exist numerous Web technology and applications that can benefit with the application of artificial intelligence techniques. It is not possible to cover them all in one book with a required degree of quality, depth and width. We present this book to discuss some important Web developments by using artificial intelligence techniques in the areas of Web personalisation, semantic Web and Web services. The primary readers of this book are undergraduate/postgraduate students, researchers and practitioners in information technology and computer science related areas. The success of this book is largely due to the collective efforts of a great team consisting of authors and reviewers. We are grateful to them for their vision and wonderful support. The final quality of selected papers reflects their efforts. Finally we would like to thank the Queensland University of Technology, Brisbane Australia and University of South Australia, Adelaide Australia for providing us the resources and time to undertake this task. We extend our sincere thanks to Scientific Publishing Services Pvt. Ltd., for the editorial support.

Applied Graph Theory in Computer Vision and Pattern Recognition

Applied Graph Theory in Computer Vision and Pattern Recognition PDF Author: Abraham Kandel
Publisher: Springer
ISBN: 3540680209
Category : Technology & Engineering
Languages : en
Pages : 265

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Book Description
This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.

Model-Based Reasoning in Science, Technology, and Medicine

Model-Based Reasoning in Science, Technology, and Medicine PDF Author: Lorenzo Magnani
Publisher: Springer
ISBN: 3540719865
Category : Technology & Engineering
Languages : en
Pages : 525

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Book Description
The volume is based on papers presented at the international conference on Model-Based Reasoning in Science and Medicine held in China in 2006. The presentations explore how scientific thinking uses models and explanatory reasoning to produce creative changes in theories and concepts. The contributions to the book are written by researchers active in the area of creative reasoning in science and technology. They include the subject area’s most recent results and achievements.