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Medical Image fusion with Stationary Wavelet Transform and Genetic Algorithm

IJCA Proceedings on International Conference on Advances in Emerging Technology
© 2016 by IJCA Journal
ICAET 2016 - Number 10
Year of Publication: 2016
Amandeep Kaur
Reecha Sharma

Amandeep Kaur and Reecha Sharma. Article: Medical Image fusion with Stationary Wavelet Transform and Genetic Algorithm. IJCA Proceedings on International Conference on Advances in Emerging Technology ICAET 2016(10):1-4, September 2016. Full text available. BibTeX

	author = {Amandeep Kaur and Reecha Sharma},
	title = {Article: Medical Image fusion with Stationary Wavelet Transform and Genetic Algorithm},
	journal = {IJCA Proceedings on International Conference on Advances in Emerging Technology},
	year = {2016},
	volume = {ICAET 2016},
	number = {10},
	pages = {1-4},
	month = {September},
	note = {Full text available}


The complementary nature of medical imaging sensors of different modalities, (X-ray, Magnetic Resonance Imaging (MRI), Computed Tomography (CT)), all brought a great need of image fusion to extract relevant information from medical images. Medical image fusion using Stationary wavelet transform (SWT) and optimize result using genetic algorithm (GA) has been implemented and demonstrated in PC MATLAB. In this paper medical CT and MRI images are fused. To overcomes the discrete wavelet transform (DWT) problems that suffers from translation variant property which may extract different feature from two source images taken from same sensor with only slight movement. This paper utilizes SWT instead of DWT to get rid of these restrictions and performance of purposed algorithm is measured by peak signal to noise ratio (PSNR), entropy, root mean square error (RMSE), standard deviation.


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