TAILIEUCHUNG - ADVANCES IN IMAGE SEGMENTATION

The field of digital image segmentation is continually evolving. Most recently, the advanced segmentation methods such as Template Matching, Spatial and Temporal ARMA Processes, Mean Shift Iterative Algorithm, Constrained Compound Markov Random Field (CCMRF) model and Statistical Pattern Recognition (SPR) methods form the core of a modernization effort that resulted in the current text. This new edition of "Advanced Image Segmentation" is but a reflection of the significant progress that has been made in the field of image segmentation in just the past few years. The book presented chapters that highlight frontier works in image information processing | ADVANCES IN IMAGE SEGMENTATION Edited by Pei-Gee Peter Ho Advances in Image Segmentation http 3425 Edited by Pei-Gee Peter Ho Contributors Said Mahmoudi Mohammed Benjelloun Mohamed Amine Larhmam Vallejos Silvia Ojeda Roberto Rodriguez Pradipta Kumar Nanda Luciano Lulio Published by InTech Janeza Trdine 9 51000 Rijeka Croatia Copyright 2012 InTech All chapters are Open Access distributed under the Creative Commons Attribution license which allows users to download copy and build upon published articles even for commercial purposes as long as the author and publisher are properly credited which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech authors have the right to republish it in whole or part in any publication of which they are the author and to make other personal use of the work. Any republication referencing or personal use of the work must explicitly identify the original source. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials instructions methods or ideas contained in the book. Publishing Process Manager Martina Blecic Technical Editor InTech DTP team Cover InTech Design team First published October 2012 Printed in Croatia A free online edition of this book is available at Additional hard copies can be obtained from orders@ Advances in Image Segmentation Edited by Pei-Gee Peter Ho p. cm. ISBN 978-953-51-0817-7 INTECH open science I open minds free online editions of InTech Books and Journals can be found at .

• Phần cứng
• Vertebra Detection
• Mean Shift
• Color Image
• Natural Scenes
• Texture Segmentation
• Statistical Pattern
• Geo statistics
• Semi variogram
• Ordinary kriging
• ARC GIS environment
• Geo statistical tool
• Statistical Digital
• Signal Processing
• Multirate Systems
• Pattern Classification
• Schaums Outline
• Seasonal rainfall
• Statistical distributions
• Goodness of fit–test
• Mann Kendall trend test
• Sen’s slope estimator
• Basic Concepts
• Measurement
• Representation
• Paradigms
• Metric Methods
• Neural Net Methods
• Statistical Methods
• Electronic Engineering
• Pattern recognition
• On chip training
• Low power
• Non linear statistical data modeling tools
• Total porosity
• Aggregates stability
• Spatial variability
• Geo statistical tools
• Soil physical properties