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Innovations in Intelligent Image Analysis de Halina Kwasnicka

Innovations in Intelligent Image Analysis: Studies in Computational Intelligence, cartea 339

Editat de Halina Kwasnicka, Lakhmi C Jain
en Limba Engleză Hardback – 17 feb 2011
 This book presents an introduction to new and important research in the images processing and analysis area. It is hoped that this book will be useful for scientists and students involved in many aspects of image analysis. The book does not attempt to cover all of the aspects of Computer Vision, but the chapters do present some state of the art examples.
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Specificații

ISBN-13: 9783642179334
ISBN-10: 3642179339
Pagini: 312
Ilustrații: XX, 312 p.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.61 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Advances in Intelligent Image Analysis.- Multi-class Classification in Image Analysis Via Error-Correcting Output Codes.- MORPHOLOGICAL OPERATOR DESIGN FROM TRAINING DATA.- TASK-SPECIFIC SALIENCE FOR OBJECT RECOGNITION.- Fast and efficient local features detection for building recognition.- Visual Perception in Image Analysis.- An Introduction to Magnetic Resonance Imaging: From Image Acquisition to Clinical Diagnosis .- Image Analysis in Poincar´e-Peters Perceptual Representative Spaces.- Local keypoints and global affine geometry: triangles and ellipses for image fragment matching.

Textul de pe ultima copertă

 This book presents an introduction to new and important research in the images processing and analysis area. It is hoped that this book will be useful for scientists and students involved in many aspects of image analysis. The book does not attempt to cover all of the aspects of Computer Vision, but the chapters do present some state of the art examples.

Caracteristici

Recent research in image analysis using advanced computational intelligence paradigms Survey of advanced computational intelligence paradigms in image interpretation, image retrieval, knowledge acquisition and biometric systems Includes a number of case studies