Langue: anglais
Edité par Physica-Verlag GmbH & Co, 2000
ISBN 10 : 3790813044 ISBN 13 : 9783790813043
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Ajouter au panierHardcover. Etat : Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 2000. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 2000. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Ajouter au panierEtat : New. pp. 236.
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Ajouter au panierEtat : New. pp. 236.
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Köln : Verl. TÜV Rheinland,, 1989
ISBN 10 : 3885856409 ISBN 13 : 9783885856405
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Ajouter au panierkart. 335 S. : Ill., graph. Darst. ; 24 cm 1989. Einband etwas berieben, sonst sauber und gut. Sprache: Englisch.
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Ajouter au panierEtat : New. pp. 236.
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Ajouter au panierEtat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Ajouter au panierPaperback. Etat : Brand New. 236 pages. 9.21x6.14x0.79 inches. In Stock.
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Ajouter au panierEtat : New. pp. 432 Illus.
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Langue: anglais
Edité par New York, NY, U.S.A. Springer-Verlag New York, Incorporated, 2000
ISBN 10 : 3790813044 ISBN 13 : 9783790813043
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Ajouter au panierGebunden. Etat : Sehr gut. " Gebraucht - Sehr gut Zustand: Sehr gut, XVI, 412 pp. 197 figs., 31 tab. About this book The volume \"Fuzzy Techniques in Image Processing\" illustrates the successful application of fuzzy set theory in the area of image processing, and represents a broad, up-to-date and state-of-the-art coverage of diverse aspects related to fuzzy techniques in image processing. Besides an extensive state-of-the-art contribution on fuzzy mathematical morphology we present several contributions on a wide variety of topics, including fuzzy filtering, fuzzy image enhancement, fuzzy edge detection, fuzzy image segmentation, fuzzy processing of color images, and applications in medical imaging and robot vision. All chapters are written by outstanding experts in the field, and are characterized by their originality and high-quality standard. Therefore, the book will not only serve as an important reference for scientists and practitioners in this area, but also as an inspiration for newcoming researchers. Written for reseachers and practitioners ".
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2010
ISBN 10 : 384337144X ISBN 13 : 9783843371445
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Ajouter au panierTaschenbuch. Etat : Neu. Fuzzy Techniques in Image Processing | Mike Nachtegael (u. a.) | Taschenbuch | xvi | Englisch | 2010 | Physica | EAN 9783790824759 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Langue: anglais
Edité par Physica-Verlag HD Jun 2000, 2000
ISBN 10 : 3790813044 ISBN 13 : 9783790813043
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Ajouter au panierBuch. Etat : Neu. Neuware -Since time immemorial, vision in general and images in particular have played an important and essential role in human life. Nowadays, the field of image processing also has numerous scientific, commercial, industrial and military applications. All these applications result from the interaction between fun damental scientific research on the one hand, and the development of new and high-standard technology on the other hand. 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. The theory of fuzzy sets was initiated in 1965 by Zadeh, and is one of the most developed models to treat imprecision and uncertainty. Instead of the classical approach that an object belongs or does not belong to a set, the concept of a fuzzy set allows a gradual transition from membership to nonmembership, providing partial degrees of member ship. Fuzzy techniques are often complementary to existing techniques and can contribute to the development of better and more robust methods, as has already been illustrated in numerous scientific branches. With this vol ume, we want to demonstrate that the introduction and application of fuzzy techniques can also be very successful in the area of image processing. This book contains high-quality contributions of over 30 field experts, covering a wide range of both theoretical and practical applications of fuzzy techniques in image processing.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 432 pp. Englisch.
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 413 pages. 9.25x6.00x0.75 inches. In Stock.
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Ajouter au panierPaperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par LAP Lambert Academic Publishing, 2010
ISBN 10 : 384337144X ISBN 13 : 9783843371445
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive treatment of methodologies underlying fuzzy logic, genetic algorithm, artificial neural networks and neuro-fuzzy hybrid for solving medical diagnostic problems like cancer, skin disease etc. Expert systems have been built to perform clinical decision-making functions, but the knowledge rules extracted from human experts generally have uncertain and ambiguous characteristics. To handle uncertainties in symptoms, descriptions and data, fuzzy logic is used with neural networks. Artificial neural networks provide aspects such as learning, adaptation and generalization that aid fuzzy logic inference under cognitive uncertainty. The neuro-fuzzy inference engine uses a weighed average of the premise and consequent parameters with the fuzzy rule serving as node and fuzzy sets representing the weight of the nodes. The image from which feature is to be extracted must be preprocessed so that significant features are not disturbed and then neuro-fuzzy-genetic hybrid can be used for making decisions. This monograph will appeal to students, researchers and R&D professionals who need the state-of-art introduction into this challenging and exciting young field.
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Ajouter au panierTaschenbuch. Etat : Neu. Medical Image Processing | Advanced Fuzzy Set Theoretic Techniques | Tamalika Chaira | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | CRC Press | EAN 9780367575960 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the introduction of fuzzy set theory, there has been an explosion of interest in advanced fuzzy set theories-such as intuitionistic fuzzy and Type II fuzzy set-that represent uncertainty in a better way.Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques deals with the application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, this higher-level text:Provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators, and distance/similarity measuresCovers medical image enhancement using advanced fuzzy sets, including MATLAB®-based examples to increase contrast of the imagesDescribes intuitionistic fuzzy and Type II fuzzy thresholding techniques that separate different regions/leukocyte types/abnormal lesionsDemonstrates the clustering of unwanted lesions/regions even in the presence of noise by applying intuitionistic fuzzy clusteringHighlights the edges of poorly illuminated images and uses intuitionistic fuzzy edge detection to find the edges of different regionsDefines fuzzy mathematical morphology and explores its application using the Lukasiewicz operator, t-norms, and t-conormsMedical Image Processing: Advanced Fuzzy Set Theoretic Techniques is useful not only for students, but also for teachers, engineers, scientists, and those interested in the field of medical image analysis. A basic knowledge of fuzzy set is required, along with a solid understanding of mathematics and image processing.