Intelligent Machine Vision

Intelligent Machine Vision

Machine Vision has also been used to ensure greater safety and reliability of the manufacturing processes. The whole area of flexible automation is an important and growing one, and Machine Vision will continue to be an essential ...

Author: Bruce Batchelor

Publisher: Springer Science & Business Media

ISBN: 9781447102397

Category: Computers

Page: 422

View: 414

A number of important aspects of intelligent machine vision in one volume, describing the state of the art and current developments in the field, including: fundamentals of 'intelligent'image processing for machine vision systems; algorithm optimisation; implementation in high-speed electronic digital hardware; implementation in an integrated high-level software environment and applications for industrial product quality and process control. Backed by numerous illustrations, created using the authors IP software, this book will be of interest to researchers in the field of machine vision wishing to understand the discipline and develop new techniques. Also useful for under- and postgraduates.
Categories: Computers

Intelligent Computer Vision and Image Processing Innovation Application and Design

Intelligent Computer Vision and Image Processing  Innovation  Application  and Design

This work was previously published in the International Journal of Computer Vision and Image Processing (IJCVIP), Volume 1, Issue 2, edited by Muhammed Sarfraz, pp. ... IEEE Transactions on Pattern Analysis and Machine Intelligence, ...

Author: Sarfraz, Muhammad

Publisher: IGI Global

ISBN: 9781466639072

Category: Computers

Page: 331

View: 925

Innovations in computer vision technology continue to advance the applications and design of image processing and its influence on multimedia applications. Intelligent Computer Vision and Image Processing: Innovation, Application, and Design provides methods and research on various disciplines related to the science and technology of machines. This reference source is essential for academicians, researchers, and practitioners interested in the latest developments and innovations in computer science, education, and security.
Categories: Computers

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to ...

Author: Arcangelo Distante

Publisher: Springer Nature

ISBN: 9783030423742

Category: Computers

Page: 432

View: 414

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 2 (From Image to Pattern) examines image transforms, image restoration, and image segmentation. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.
Categories: Computers

artificial Intelligence Machine Learning In Marketing

artificial Intelligence   Machine Learning In Marketing

... a self-bootstrapping Creativity Machine noticed audience facial manifestations through an improved machine vision ... Various artists are also consenting the increase of intelligent machines and leveraging the man-machine symbiosis ...

Author: James Seligman

Publisher: Lulu.com

ISBN: 9780244563882

Category: Computers

Page: 250

View: 297

The theory and practice of AI and ML in marketing saving time, money
Categories: Computers

Machine Vision and Augmented Intelligence Theory and Applications

Machine Vision and Augmented Intelligence   Theory and Applications

His areas of research are augmented intelligence, machine vision, brain-computer interface, medical imaging, and parallel algorithms design. Dr. Bajpai is a senior member of IEEE and a life member of the Indian Science Congress and ...

Author: Manish Kumar Bajpai

Publisher: Springer Nature

ISBN: 9789811650789

Category: Computers

Page: 692

View: 495

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2021) held at IIIT, Jabalpur, in February 2021. The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.
Categories: Computers

Reliable Plan Selection by Intelligent Machines

Reliable Plan Selection by Intelligent Machines

The Intelligent Machine consisting of these optimal susbsystems will be a highly reliabile system. ... These concepts were demonstrated in detailed analyses for both machine vision systems and single-input control systems.

Author:

Publisher:

ISBN: 9789814500128

Category:

Page:

View: 955

Categories:

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition Emerging Research and Opportunities

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition  Emerging Research and Opportunities

Although humans are highly intelligent, there are some inherent problems associated with the human observers. ... This technology is known as machine learning which is the blessing of artificial intelligence. Machine learning algorithms ...

Author: Chakraborty, Shouvik

Publisher: IGI Global

ISBN: 9781799827382

Category: Computers

Page: 271

View: 446

Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.
Categories: Computers

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to ...

Author: Arcangelo Distante

Publisher: Springer Nature

ISBN: 9783030423780

Category: Computers

Page: 676

View: 928

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 3 (From Pattern to Object) examines object recognition, neural networks, motion analysis, and 3D reconstruction of a scene. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.
Categories: Computers

Multi Core Computer Vision and Image Processing for Intelligent Applications

Multi Core Computer Vision and Image Processing for Intelligent Applications

The Advances in Computational Intelligence and Robotics (ACIR) Book Series encourages scholarly discourse on all topics pertaining to evolutionary computing, artificial life, computational intelligence, machine learning, and robotics.

Author: S., Mohan

Publisher: IGI Global

ISBN: 9781522508908

Category: Computers

Page: 292

View: 996

A multicore platform uses distributed or parallel computing in a single computer, and this can be used to assist image processing algorithms in reducing computational complexities. By implementing this novel approach, the performance of imaging, video, and vision algorithms would improve, leading the way for cost-effective devices like intelligent surveillance cameras. Multi-Core Computer Vision and Image Processing for Intelligent Applications is an essential publication outlining the future research opportunities and emerging technologies in the field of image processing, and the ways multi-core processing can further the field. This publication is ideal for policy makers, researchers, technology developers, and students of IT.
Categories: Computers