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Author: Zhang, Yu-Jin
Publisher: IGI Global
Published: 2006-05-31
Total Pages: 472
ISBN-13: 1591407559
DOWNLOAD EBOOK"This book attempts to bring together a selection of the latest results of state-of-the art research in image and video segmentation, one of the most critical tasks of image and video analysis that has the objective of extracting information (represented by data) from an image or a sequence of images (video)"--Provided by publisher.
Author: Pei-Gee Ho
Publisher: BoD – Books on Demand
Published: 2012-10-24
Total Pages: 130
ISBN-13: 9535108174
DOWNLOAD EBOOKThe field of digital image segmentation is continually evolving. Most recently, the advanced segmentation methods such as Template Matching, Spatial and Temporal ARMA Processes, Mean Shift Iterative Algorithm, Constrained Compound Markov Random Field (CCMRF) model and Statistical Pattern Recognition (SPR) methods form the core of a modernization effort that resulted in the current text. This new edition of "Advanced Image Segmentation" is but a reflection of the significant progress that has been made in the field of image segmentation in just the past few years. The book presented chapters that highlight frontier works in image information processing.
Author: Ayman El-Baz
Publisher: CRC Press
Published: 2016-11-17
Total Pages: 547
ISBN-13: 1482258560
DOWNLOAD EBOOKAs one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise modeling), often requires modality-specific algorithmic treatment. In recent years, substantial progress has been made to biomedical image segmentation. Biomedical image segmentation is characterized by several specific factors. This book presents an overview of the advanced segmentation algorithms and their applications.
Author: Pei-Gee Peter Ho
Publisher:
Published: 2012
Total Pages: 128
ISBN-13: 9789535157199
DOWNLOAD EBOOKThe field of digital image segmentation is continually evolving. Most recently, the advanced segmentation methods such as Template Matching, Spatial and Temporal ARMA Processes, Mean Shift Iterative Algorithm, Constrained Compound Markov Random Field (CCMRF) model and Statistical Pattern Recognition (SPR) methods form the core of a modernization effort that resulted in the current text. This new edition of "Advanced Image Segmentation" is but a reflection of the significant progress that has been made in the field of image segmentation in just the past few years. The book presented chapters that highlight frontier works in image information processing.
Author: Aboul Ella Hassanien
Publisher: Springer
Published: 2017-10-13
Total Pages: 711
ISBN-13: 3319637541
DOWNLOAD EBOOKThis book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
Author: Srivastava, Rajeev
Publisher: IGI Global
Published: 2013-09-30
Total Pages: 451
ISBN-13: 1466645598
DOWNLOAD EBOOKSimilar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.
Author: Pramod K. Varshney
Publisher: Springer Science & Business Media
Published: 2004-08-12
Total Pages: 344
ISBN-13: 9783540216681
DOWNLOAD EBOOKThe first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.
Author: Garcia-Rodriguez, Jose
Publisher: IGI Global
Published: 2018-04-06
Total Pages: 343
ISBN-13: 152255629X
DOWNLOAD EBOOKInterest in computer vision and image processing has grown in recent years with the advancement of everyday technologies such as smartphones, computer games, and social robotics. These advancements have allowed for advanced algorithms that have improved the processing capabilities of these technologies. Advancements in Computer Vision and Image Processing is a critical scholarly resource that explores the impact of new technologies on computer vision and image processing methods in everyday life. Featuring coverage on a wide range of topics including 3D visual localization, cellular automata-based structures, and eye and face recognition, this book is geared toward academicians, technology professionals, engineers, students, and researchers seeking current research on the development of sophisticated algorithms to process images and videos in real time.
Author: S. Kamaledin Setarehdan
Publisher: Springer Science & Business Media
Published: 2012-09-07
Total Pages: 661
ISBN-13: 0857293338
DOWNLOAD EBOOKMedical imaging is an important topic and plays a key role in robust diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound. This book focuses primarily on model-based segmentation techniques, which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors working in industry and academia, and presents new material.
Author: Yu-Jin Zhang
Publisher: IRM Press
Published: 2006
Total Pages: 480
ISBN-13:
DOWNLOAD EBOOK"This book attempts to bring together a selection of the latest results of state-of-the art research in image and video segmentation, one of the most critical tasks of image and video analysis that has the objective of extracting information (represented by data) from an image or a sequence of images (video)"--Provided by publisher.
