Описание: This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing - not providing the simultaneous benefits of high accuracy and less complexity - can be overcome, proposing bio-inspired methodologies to help do so.
Описание: This book is the first text of its kind that presents both the traditional and the modern aspects of dialysis modeling and control in a clear, insightful and highly comprehensive writing style. It provides an in-depth analysis of the mathematical models and algorithms, and demonstrates their applications in real world problems of significant complexity. It explains concepts in a clear, matter-of-fact style. The material of this book will be useful to advanced undergraduate and graduate biomedical engineering students. Also, researchers and practitioners in the field of dialysis, control systems, soft computing will benefit from it. In order to make the reader aware of the applied side of the subject, the book includes: Chapter openers with a chapter outline, chapter objectives, key terms list, and abstract. Solved numerical examples to illustrate the application of a particular concept, and also to encourage good problem-solving skills. More than 1000 questions to give the readers a better insight to the subject. Case studies to understand the significance of the joint usage of the dialysis modeling and control techniques in interesting problems of the real world. latest information, including latest research surveys and references related to the subjects
Автор: Aboul Ella Hassanien; Diego Alberto Oliva Название: Advances in Soft Computing and Machine Learning in Image Processing ISBN: 3319637533 ISBN-13(EAN): 9783319637532 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This 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.
Описание: Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition.
Автор: Bhattacharyya, Siddhartha Maulik, Ujjwal Название: Soft computing for image and multimedia data processing ISBN: 3642402542 ISBN-13(EAN): 9783642402548 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Soft Computing for Image and Multimedia Data Processing
Автор: Siddhartha Bhattacharyya; Ujjwal Maulik Название: Soft Computing for Image and Multimedia Data Processing ISBN: 3662513595 ISBN-13(EAN): 9783662513590 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This full-spectrum graduate textbook starts with a tutorial on brain learning and the key soft computing techniques. It focuses on object extraction, image segmentation and edge detection, with extensive real-life applications in multimedia data processing.
Автор: Sankar K. Pal; Ashish Ghosh; Malay K. Kundu Название: Soft Computing for Image Processing ISBN: 3790812684 ISBN-13(EAN): 9783790812688 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of 21 articles contains new material and describes, in a unified way with extensive real life applications, the merits and significance of performing different image processing/analysis tasks in soft computing paradigm.
Описание: finite-difference, finite-element, and finite-volume methods), parallel methods, and adaptive methods as well as fast solvers, with particular focus on explaining the interactions of the different methods.
Автор: Phillipe R?fr?gier; Fran?ois Goudail Название: Statistical Image Processing Techniques for Noisy Images ISBN: 1461346924 ISBN-13(EAN): 9781461346920 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification).
Автор: Sankar K. Pal; Ashish Ghosh; Malay K. Kundu Название: Soft Computing for Image Processing ISBN: 3790824682 ISBN-13(EAN): 9783790824681 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image.
Автор: Etienne E. Kerre; Mike Nachtegael Название: Fuzzy Techniques in Image Processing ISBN: 3790824755 ISBN-13(EAN): 9783790824759 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Regarding the scientific com- ponent, quite recently the scientific community became familiar with "fuzzy techniques" in image processing, which make use of the framework of fuzzy sets and related theories.
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