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

By: Kwaśnicka, Halina [editor.].
Contributor(s): Jain, Lakhmi C [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Computational Intelligence: 339Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XX, 316p. 138 illus., 62 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642179341.Subject(s): Engineering | Artificial intelligence | Computer vision | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | Signal, Image and Speech Processing | Image Processing and Computer VisionDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary:  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´e-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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