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Humerus Radiograph Image Segmentation using Normalized Cut

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IJCA Proceedings on National Conference on Recent Trends in Computing
© 2012 by IJCA Journal
NCRTC - Number 2
Year of Publication: 2012
Authors:
Basavaraj A Goudannavar
Ravindra S. Hegadi
Neelangouda Patil

Basavaraj A Goudannavar, Ravindra S Hegadi and Neelangouda Patil. Article: Humerus Radiograph Image Segmentation using Normalized Cut. IJCA Proceedings on National Conference on Recent Trends in Computing NCRTC(2):22-24, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Basavaraj A Goudannavar and Ravindra S. Hegadi and Neelangouda Patil},
	title = {Article: Humerus Radiograph Image Segmentation using Normalized Cut},
	journal = {IJCA Proceedings on National Conference on Recent Trends in Computing},
	year = {2012},
	volume = {NCRTC},
	number = {2},
	pages = {22-24},
	month = {May},
	note = {Full text available}
}

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

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