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Reseach Article

Humerus Radiograph Image Segmentation using Normalized Cut

Published on May 2012 by Basavaraj A Goudannavar, Ravindra S. Hegadi, Neelangouda Patil
National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 2
May 2012
Authors: Basavaraj A Goudannavar, Ravindra S. Hegadi, Neelangouda Patil
ee06d766-9469-4e07-9a19-3db89a1e6a0d

Basavaraj A Goudannavar, Ravindra S. Hegadi, Neelangouda Patil . Humerus Radiograph Image Segmentation using Normalized Cut. National Conference on Recent Trends in Computing. NCRTC, 2 (May 2012), 22-24.

@article{
author = { Basavaraj A Goudannavar, Ravindra S. Hegadi, Neelangouda Patil },
title = { Humerus Radiograph Image Segmentation using Normalized Cut },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 2 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 22-24 },
numpages = 3,
url = { /proceedings/ncrtc/number2/6524-1014/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Basavaraj A Goudannavar
%A Ravindra S. Hegadi
%A Neelangouda Patil
%T Humerus Radiograph Image Segmentation using Normalized Cut
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 2
%P 22-24
%D 2012
%I International Journal of Computer Applications
Abstract

Image segmentation techniques have been widely applied in diagnosis systems with medical image support. In this paper we propose the normalized cuts method for image segmentation problem, which is based on Graph Theory. These algorithms treat an image pixel as a node of graph, and consider segmentation as a graph partitioning problem. The Normalized Cuts algorithm measures both the total dissimilarity between the different groups as well as the total similarity within the groups. The pixel value of gray scale and color Images are considered for clustering dissimilarity and similarity group. The optimal solution of splitting points is easily computed by solving a generalized eigenvalue problem. The results of the proposed method are encouraging.

References
  1. The American Journal of the Medical Sciences by Southern Society for Clinical Investigation (U. S. ) (1838)
  2. "Surgical Neck Fractures of the Humerus - Wheeless' Textbook of Orthopaedics". http://www. wheelessonline. com/ortho/surgical_neck_fractures_of_the_humerus. (2007)
  3. "A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics", Proc. 8th Int'l Conf. Computer Vision, vol. 2, pp. 416-423,
  4. D. Martin and C. Fowlkes and D. Tal and J. Malik, http://www. eecs. berkeley. edu/Research/Projects/CS/vision/bsds/ (2001)
  5. Bone radiography SMI/SWI/UMIC Merger. Effective http://smiswi. sasktelwebhosting. com/xray. htm (2005).
  6. Normalized Cuts and Image Segmentation Jianbo IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 22, NO. 8, Shi and Jitendra Malik, Member, IEEE (2000).
  7. Shape-Based Image Segmentation Using Normalized Cuts Wenchao Cai1,3, JueWu2,3, Albert C. S. Chung1,3 4106726 abstract; Download Citations; Email; Print; Rights and Permissions (2007)
  8. Lateral elbow radiograph showing short spiral fracture of the humerus (right side). Khashaba A Br J Sports Med 2000
  9. Image may be subject to copyright. Below is the image at: www. sciencephoto. com/media/157373/enlarge
Index Terms

Computer Science
Information Sciences

Keywords

X-ray Bone Segmentation Humerus Bone Lateral Elbow Radiograph