Innovations in Intelligent Image Analysis [electronic resource] / edited by Halina Kwasnicka, Lakhmi C. Jain.

Colaborador(es): Kwasnicka, Halina | [editor.] | Jain, Lakhmi C | [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Studies in Computational Intelligence; -339Descripción: XX, 316p. 138 illus., 62 illus. in color. online resourceISBN: 9783642179341 99783642179341Tema(s): Engineering | Artificial intelligence | Engineering | Artificial Intelligence (incl. Robotics) | COMPUTADOR VISIÓN | IMAGE PROCESSING AND COMPUTER VISION | SIGNAL, IMAGE AND SPEECH PROCESSING | COMPUTATIONAL INTELIGENCEClasificación CDD: 006.3 Recursos en línea: ir a documento
Contenidos:
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 -Peters Perceptual Representative Spaces -- Local keypoints and global affine geometry: triangles and ellipses for image fragment matching.
Resumen: 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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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 -Peters Perceptual Representative Spaces -- Local keypoints and global affine geometry: triangles and ellipses for image fragment matching.

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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