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Innovations in intelligent image analysis

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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.

Author(s): Halina Kwaśnicka, Lakhmi C. Jain (auth.), Halina Kwaśnicka, Lakhmi C. Jain (eds.)
Series: Studies in Computational Intelligence 339
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2011

Language: English
Pages: 312
Tags: Computational Intelligence; Artificial Intelligence (incl. Robotics); Signal, Image and Speech Processing; Image Processing and Computer Vision

Front Matter....Pages -
Advances in Intelligent Image Analysis....Pages 1-6
Multi-class Classification in Image Analysis via Error-Correcting Output Codes....Pages 7-29
Morphological Operator Design from Training Data....Pages 31-58
Task-Specific Salience for Object Recognition....Pages 59-85
Fast and Efficient Local Features Detection for Building Recognition....Pages 87-104
Visual Perception in Image Analysis....Pages 105-125
An Introduction to Magnetic Resonance Imaging: From Image Acquisition to Clinical Diagnosis....Pages 127-161
Image Analysis in Poincaré-Peters Perceptual Representative Spaces....Pages 163-194
Local Keypoints and Global Affine Geometry: Triangles and Ellipses for Image Fragment Matching....Pages 195-224
Feature Analysis for Object and Scene Categorization....Pages 225-244
Introduction to Curve and Edge Parametrization by Moments....Pages 245-274
Intelligent Approaches to Colour Palette Design....Pages 275-289
Mean Shift and Its Application in Image Segmentation....Pages 291-312
Back Matter....Pages -