Fuzzy techniques image processing (44 resultados)

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Taschenbuch. Condición: Neu. Computational Intelligence in Computer Aided Medical Diagnosis | Cognitive clinical decision-making with Neuro-Fuzzy-Genetic systems, Weight initialization and Advanced image processing techniques | Latha Parthiban | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783843371445 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Gebunden. Condición: 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 ".…

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Taschenbuch. Condición: Neu. Fuzzy Techniques in Image Processing | Etienne E. Kerre (u. a.) | Taschenbuch | Studies in Fuzziness and Soft Computing | 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. …

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Condición: gut. Artificial Colour Perception Using Fuzzy Techniques in Digital Image Processing In deutscher Sprache. pages.

Buch. Condición: Neu. Neuware - 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 measures - Covers medical image enhancement using advanced fuzzy sets, including MATLAB®-based examples to increase contrast of the images - Describes intuitionistic fuzzy and Type II fuzzy thresholding techniques that separate different regions/leukocyte types/abnormal lesions - Demonstrates the clustering of unwanted lesions/regions even in the presence of noise by applying intuitionistic fuzzy clustering - Highlights the edges of poorly illuminated images and uses intuitionistic fuzzy edge detection to find the edges of different regions - Defines fuzzy mathematical morphology and explores its application using the Lukasiewicz operator, t-norms, and t-conorms Medical 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.…

Taschenbuch. Condición: 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. …