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Biomedical Image Fusion &Segmentation using GLCM

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2nd National Conference on Computing, Communication and Sensor Network
© 2011 by IJCA Journal
Number 1 - Article 8
Year of Publication: 2011
Authors:
Madhusmita Sahoo

Madhusmita Sahoo. Biomedical Image Fusion &Segmentation using GLCM. IJCA Special Issue on 2nd National Conference- Computing, Communication and Sensor Network (CCSN) (1):34-39, 2011. Full text available. BibTeX

@article{key:article,
	author = {Madhusmita Sahoo},
	title = {Biomedical Image Fusion &Segmentation using GLCM},
	journal = {IJCA Special Issue on 2nd National Conference- Computing, Communication and Sensor Network (CCSN)},
	year = {2011},
	number = {1},
	pages = {34-39},
	note = {Full text available}
}

Abstract

In this paper we present a new fusion technique to increase the information content of the fused image. We propose information fusion by maximizing the wavelet entropy using windowing technique. It helps to diagnose the diseases like tumor, cancer …etc effectively. The images are decomposed by wavelet transform and using maximum selection rule the low frequency and high frequency bands are fused. After fusion The entropy is maximized using windowing technique. Using IDWT the fused image is resulted. The affective area in fused image is isolated and analyzed using GLCM based segmentation. GLCM based segmentation preserves the discontinuity and edge information better than other segmentation techniques.

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