Image segmentation (366 Ergebnisse)

Hardback. Zustand: Good. A companion to the Insight Toolkit An introduction to the theory of modern medical image processing, including the analysis of data from - X-ray computer tomography, - magnetic resonance imaging, - nuclear medicine, - and ultrasound. Using an algorithmic approach, and providing the mathematical, statistical, or signal processing as needed for background, the authors describe the principles of all methods implemented in the Insight Toolkit (ITK), a freely available, open- source, object-oriented library. The emphasis is on providing intuitive descriptions of the principles and illustrative examples of results from the leading filtering, segmentation, and registration methods. This book covers the mathematical foundations of important techniques such as: - Statistical pattern recognition, - PDE-based nonlinear image filtering, - Markov random fields, - Level set methods, - Deformable models, - Mutual information, image-based registration - Non-rigid image data fusion With contributions from: Elsa Angelini, Brian Avants, Stephen Aylward, Ting Chen, Jeffrey Duda, Jim Gee, Luis Ibanez, Celina Imielinska, Yinpeng Jin, Jisung Kim, Bill Lorensen, Dimitris Metaxas, Lydia Ng, Punam Saha, George Stetten, Tessa Sundaram, Jay Udupa, Ross Whitaker, Terry Yoo, and Ying Zhuge. The Insight Toolkit is part of the Visible Human Project from the National Library of Medicine, with support from NIDCR, NINDS, NIMH, NEI, NSF, TATRC, NCI, and NIDCD.…

gebundene Ausgabe. Zustand: Gut. 180 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); Schnitt und Einband sind etwas staubschmutzig; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Text in ENGLISCHER Sprache! Sprache: Englisch Gewicht in Gramm: 400.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Soft Cover. Zustand: Very Good. Ex-library with the usual features. Library label on front cover. The interior is clean and tight. Binding is good. Cover shows light wear. Ex-Library.

Zustand: New. pp. 199.

Zustand: As New. : Este libro técnico explora los desafíos del procesamiento de imágenes en entornos submarinos, donde la baja visibilidad y la atenuación de la luz dificultan el reconocimiento y la segmentación de objetos. Los autores presentan un análisis detallado de técnicas de segmentación basadas en histogramas, implementadas en MATLAB, para mejorar la calidad de las imágenes y facilitar la monitorización de especies marinas y ecosistemas subacuáticos.La obra es una herramienta valiosa para investigadores y estudiantes interesados en la visión artificial y el procesamiento de señales aplicado a la biología marina. A través de un enfoque práctico, el texto guía al lector en la aplicación de técnicas de preprocesamiento y análisis para superar las limitaciones visuales inherentes a las profundidades oceánicas. EAN: 9783659251337 Tipo: Libros Categoría: Tecnología|Ciencias Título: Analysis of Underwater Image Segmentation using Contrast Enhancement Autor: Neetu Sharma| Paresh Rawat Editorial: LAP LAMBERT Academic Publishing Idioma: en Páginas: 100 Formato: tapa blanda.…

XXVI, 660 p. Hardcover Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Pattern Recognition. Sprache: Englisch.…

Paperback. Zustand: New. Paperback. An unused, unmarked and unblemished copy.; 100% Satisfaction Guaranteed! Ships same or next business day.

ix, 163 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

2005th ed. 25 x 5 cm. 838 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Hardcover. Zustand: Gut. 204 S. Ex-library with stamp and library-signature in good condition, some traces of use. C-02598 9783764352738 Sprache: Englisch Gewicht in Gramm: 550.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: 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.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

2005th ed. 18 x 25 cm. 666 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Taschenbuch. Zustand: Neu. Neuware - Because of the large number of SAR images the Air Force generates and the dwindling number of available human analysts, automated methods must be developed. A key step towards automated SAR image analysis is image segmentation. There are many segmentation algorithms, but they have not been tested on a common set of images, and there are no standard test methods. This thesis evaluates four SAR image scgmentation algorithms by running them on a common set of data and obj ectively comparing them to each other and to human segmentors. This objective comparison uses a multimetric approach with a set of master segmentations as ground truth. The metric results are compared to a Human Threshold, which defines the performance of human segmentors compared to the master segmentations. Also, methods that use the multimetrics to detemmine the best algorithm are developed. These methods show that of the four algorithms, Statistical Curve Evolution produces the best segmentations; however, none of the algorithms are superior to human segmentors. Thus, with the Human Threshold and Statistical Curve Evolution as benchmarks, this thesis establishes a new and practical framework for testing SAR image segmentation algorithms.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.…

Zustand: New. In English.

Paperback. Zustand: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.

Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

Paperback. Zustand: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

Zustand: New. KlappentextrnrnBecause of the large number of SAR images the Air Force generates and the dwindling number of available human analysts, automated methods must be developed. A key step towards automated SAR image analysis is image segmentation. Th.