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Segmentation of Hand Bone for Bone Age Assessment

  • Yan Chai Hum

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Yan Chai Hum
    Pages 1-9
  3. Yan Chai Hum
    Pages 11-45
  4. Yan Chai Hum
    Pages 47-98
  5. Yan Chai Hum
    Pages 99-126
  6. Yan Chai Hum
    Pages 127-129
  7. Back Matter
    Pages 131-132

About this book

Introduction

The objective of this Brief is to provide a solution to the unsolved technical problem in segmentation for the automated bone age assessment system. The task is accomplished by first applying the modified histogram equalized module, then applying the proposed automated anisotropic diffusion technique. It is followed by a novel fuzzy quadruple division scheme to optimize the central segmentation algorithm, and then an additional quality assurance scheme. The designed segmentation framework works without demanding scarce resources such as training sets and skillful operators.  The results have shown that the designed framework is capable of separating the soft-tissue and background from the hand bone with high accuracy. This Brief should be especially useful for students and professional researchers in the Biomedical and image processing fields.

Keywords

Active Contour Model Automated Anisotropic Diffusion Bone Age Assessment Central Segmentation Algorithm Clustering Algorithm Edge Detectors Fuzzy Quadruple Division Hand Bone Segmentation Ossification Development Region Splitting and Merging Seeded Region Growing Thresholding Watershed Segmentation

Authors and affiliations

  • Yan Chai Hum
    • 1
  1. 1., level 2, V01, Block B, Satellite Bldng.Universiti Teknologi MalaysiaSkudai-JohorMalaysia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-4451-66-6
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-4451-65-9
  • Online ISBN 978-981-4451-66-6
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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