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Image Segmentation Algorithms on MR Brain Images

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 67 - Number 16
Year of Publication: 2013
Authors:
G. Evelin Suji
Y. V. S. Lakshimi
G. Wiselin Jiji
10.5120/11478-7031

Evelin G Suji, Y V S Lakshimi and Wiselin G Jiji. Article: Image Segmentation Algorithms on MR Brain Images. International Journal of Computer Applications 67(16):18-20, April 2013. Full text available. BibTeX

@article{key:article,
	author = {G. Evelin Suji and Y. V. S. Lakshimi and G. Wiselin Jiji},
	title = {Article: Image Segmentation Algorithms on MR Brain Images},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {67},
	number = {16},
	pages = {18-20},
	month = {April},
	note = {Full text available}
}

Abstract

Magnetic Resonance Image plays a major role in medical diagnostics. Image segmentation is done to divide an image into meaningful structures. Image segmentation is the initial step in image analysis and pattern recognition. It becomes more important while dealing with medical images where pre-surgery and post-surgery decisions are required for the purpose of initiating and speeding up the recovery process. Manual segmentation of abnormal tissues cannot be compared with modern day's high speed computing machines. Segmentation is done to extract the features of the image that are used for analysis, interpretation, and understanding of images. Accuracy of the extracted features decides the accuracy of the algorithm. Selection of a suitable algorithm is highly based on the application. This paper highlights the various image segmentation algorithms, used in medical images.

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