Open access peer-reviewed Edited Volume

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.

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Advances in Image SegmentationEdited by Pei-Gee Ho

Published: October 24th 2012

DOI: 10.5772/3425

ISBN: 978-953-51-0817-7

eBook (PDF) ISBN: 978-953-51-5719-9

Copyright year: 2012

Books open for chapter submissions

11963 Total Chapter Downloads

10 Crossref Citations

10 Web of Science Citations

16 Dimensions Citations


Open access peer-reviewed

1. Template Matching Approaches Applied to Vertebra Detection

By Mohammed Benjelloun, Saïd Mahmoudi and Mohamed Amine Larhmam


Open access peer-reviewed

2. Image Segmentation and Time Series Clustering Based on Spatial and Temporal ARMA Processes

By Ronny Vallejos and Silvia Ojeda


Open access peer-reviewed

3. Image Segmentation Through an Iterative Algorithm of the Mean Shift

By Roberto Rodríguez Morales, Didier Domínguez, Esley Torres and Juan H. Sossa


Open access peer-reviewed

4. Constrained Compound MRF Model with Bi-Level Line Field for Color Image Segmentation

By P. K. Nanda and Sucheta Panda


Open access peer-reviewed

5. Cognitive and Statistical Pattern Recognition Applied in Color and Texture Segmentation for Natural Scenes

By Luciano Cássio Lulio, Mário Luiz Tronco, Arthur José Vieira Porto, Carlos Roberto Valêncio and Rogéria Cristiane Gratão de Souza


Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI

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